Udacity - AI Programming with Python Nanodegree nd089 v1.0.0

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Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. Dolly Inside Head 1 -tyam5ZncjNw.en.vtt

75 B

Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. Dolly Inside Head 1 -tyam5ZncjNw.zh-CN.vtt

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Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. Dolly Inside Head 1 -tyam5ZncjNw.pt-BR.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.pt-BR.vtt

364 B

Part 02-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.zh-CN.vtt

390 B

Part 02-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.zh-CN.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.pt-BR.vtt

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Part 05-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/10. DL 10 S Perceptron Algorithm-fATmrG2hQzI.en.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.en.vtt

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README.txt

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Part 02-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.zh-CN.vtt

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Part 05-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.en.vtt

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Part 02-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.en.vtt

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Part 02-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.en.vtt

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Part 05-Module 01-Lesson 03_Training Neural Networks/10. Random Restart-idyBBCzXiqg.pt-BR.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.en.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.pt-BR.vtt

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Part 02-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.pt-BR.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/38. Conclusion-LLEZadlXM8A.ar.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/16. Quiz - Softmax-NNoezNnAMTY.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.en.vtt

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Part 02-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.zh-CN.vtt

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Part 02-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.pt-BR.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs Continuous-rdP-RPDFkl0.pt-BR.vtt

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Part 10-Module 01-Lesson 06_Support Vector Machines/01. SVM 01 Which Line Is Better V1-NCml_NCvd1I.zh-CN.vtt

588 B

Part 08-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.zh-CN.vtt

597 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.pt-BR.vtt

600 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.en.vtt

607 B

Part 08-Module 02-Lesson 01_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.zh-CN.vtt

616 B

Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.pt-BR.vtt

617 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.zh-CN.vtt

624 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/30. Non-Linear Data-F7ZiE8PQiSc.en.vtt

633 B

Part 10-Module 01-Lesson 06_Support Vector Machines/01. SVM 01 Which Line Is Better V1-NCml_NCvd1I.pt-BR.vtt

638 B

Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.zh-CN.vtt

639 B

Part 02-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.en.vtt

645 B

Part 08-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.pt-BR.vtt

646 B

Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.en.vtt

651 B

Part 08-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.en.vtt

651 B

Part 02-Module 01-Lesson 05_Scripting/29. Conclusion-rEMrswkLvh8.ar.vtt

652 B

Part 08-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.zh-CN.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.en.vtt

665 B

Part 08-Module 02-Lesson 01_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.pt-BR.vtt

666 B

Part 02-Module 01-Lesson 03_Control Flow/34. Congrats!-vDoqpwCHxs4.ar.vtt

673 B

Part 08-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.zh-CN.vtt

695 B

Part 10-Module 01-Lesson 06_Support Vector Machines/01. SVM 01 Which Line Is Better V1-NCml_NCvd1I.en.vtt

701 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/21. Formula For Cross 1-qvr_ego_d6w.pt-BR.vtt

719 B

Part 08-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.en.vtt

720 B

Part 02-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.zh-CN.vtt

724 B

Part 08-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.en.vtt

737 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.zh-CN.vtt

739 B

Part 02-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.zh-CN.vtt

745 B

Part 02-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.pt-BR.vtt

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Part 02-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.en.vtt

763 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.en.vtt

790 B

Part 08-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.pt-BR.vtt

800 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/13. Error Functions-YfUUunxWIJw.pt-BR.vtt

804 B

Part 02-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.en.vtt

806 B

Part 02-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.pt-BR.vtt

810 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.zh-CN.vtt

813 B

Part 08-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.pt-BR.vtt

820 B

Part 05-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.en.vtt

824 B

Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l5-c03-color5.png

826 B

Part 09-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.pt-BR.vtt

830 B

Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 54 Content On Different Branches-Px6EUylw8Uw.ar.vtt

837 B

Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l5-c03-color3.png

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Part 05-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.zh-CN.vtt

840 B

Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/img/l5-c03-color4.png

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Part 02-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.zh-CN.vtt

862 B

Part 05-Module 01-Lesson 03_Training Neural Networks/02. Training Optimization-UiGKhx9pUYc.pt-BR.vtt

874 B

Part 02-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.ar.vtt

885 B

Part 09-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.zh-CN.vtt

892 B

Part 08-Module 02-Lesson 01_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.zh-CN.vtt

893 B

Part 08-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.pt-BR.vtt

896 B

Part 08-Module 01-Lesson 06_Undoing Changes/05. Undoing Changes--_PPVk2UZMU.ar.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.en.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.en.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/img/codecogseqn-58.gif

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Part 09-Module 01-Lesson 01_Shell Workshop/17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.pt-BR.vtt

920 B

Part 08-Module 02-Lesson 01_Working With Remotes/04. L1 - Git Push In Theory-21TvMEtMRys.ar.vtt

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Part 08-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.zh-CN.vtt

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Part 08-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.zh-CN.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.pt-BR.vtt

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Part 10-Module 01-Lesson 02_Linear Regression/02. Solution Housing Prices-uhdTulw9-Nc.en.vtt

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Part 02-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.en.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/07. Lesson Wrap Up-6Koa4nAu-04.ar.vtt

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Part 08-Module 02-Lesson 02_Working On Another Developer's Repository/01. Intro-VkqtlJuZ9rs.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz - Cross 1--xxrisIvD0E.pt-BR.vtt

947 B

Part 08-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.zh-CN.vtt

948 B

Part 02-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.ar.vtt

953 B

Part 08-Module 01-Lesson 02_Create A Git Repo/05. Create A Repo - Outro-h7j4STDFCjs.ar.vtt

959 B

Part 08-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.zh-CN.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/02. L1 - Sending Branches To Remote-414f0ukhOTY.pt-BR.vtt

982 B

Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/01. Intro-j5RmK0UHOTY.zh-CN.vtt

988 B

Part 08-Module 01-Lesson 06_Undoing Changes/06. Course Outro-twn_cheqoK8.en.vtt

998 B

Part 02-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.zh-CN.vtt

1007 B

Part 08-Module 02-Lesson 01_Working With Remotes/02. L1 - Sending Branches To Remote-414f0ukhOTY.zh-CN.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/05. L1 - Git Pull In Theory-MjNU2LTDVAA.zh-CN.vtt

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Part 05-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.zh-CN.vtt

1020 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.zh-CN.vtt

1021 B

Part 02-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.pt-BR.vtt

1021 B

Part 08-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.en.vtt

1023 B

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.pt-BR.vtt

1.0 kB

Part 10-Module 01-Lesson 02_Linear Regression/02. Solution Housing Prices-uhdTulw9-Nc.pt-BR.vtt

1.0 kB

Part 08-Module 02-Lesson 01_Working With Remotes/05. L1 - Git Pull In Theory-MjNU2LTDVAA.pt-BR.vtt

1.0 kB

Part 08-Module 02-Lesson 01_Working With Remotes/05. L1 - Git Pull In Theory-MjNU2LTDVAA.en.vtt

1.0 kB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/09. XOR Perceptron-TF83GfjYLdw.en.vtt

1.0 kB

Part 02-Module 02-Lesson 01_Lab Classifying Images/02. AIPND Python Lab - Introduction Video-T_cjVqDULQI.zh-CN.vtt

1.0 kB

Part 08-Module 02-Lesson 01_Working With Remotes/02. L1 - Sending Branches To Remote-414f0ukhOTY.en.vtt

1.0 kB

Part 05-Module 01-Lesson 03_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.zh-CN.vtt

1.0 kB

Part 08-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.en.vtt

1.0 kB

Part 05-Module 01-Lesson 03_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.zh-CN.vtt

1.0 kB

Part 09-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7.1 - Downloading Solution-1oEJUA-b0kE.en.vtt

1.0 kB

Part 02-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.ar.vtt

1.0 kB

Part 08-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.zh-CN.vtt

1.0 kB

Part 05-Module 01-Lesson 03_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.pt-BR.vtt

1.0 kB

Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/01. Intro-j5RmK0UHOTY.pt-BR.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.zh-CN.vtt

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Part 08-Module 02-Lesson 02_Working On Another Developer's Repository/01. Intro-VkqtlJuZ9rs.en.vtt

1.1 kB

Part 08-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.pt-BR.vtt

1.1 kB

Part 08-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.zh-CN.vtt

1.1 kB

Part 08-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.en.vtt

1.1 kB

Part 05-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.zh-CN.vtt

1.1 kB

Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/01. Intro-j5RmK0UHOTY.en.vtt

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Part 02-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.pt-BR.vtt

1.1 kB

Part 08-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.pt-BR.vtt

1.1 kB

Part 05-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.pt-BR.vtt

1.1 kB

Part 02-Module 01-Lesson 02_Data Types and Operators/35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.zh-CN.vtt

1.1 kB

Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.pt-BR.vtt

1.1 kB

Part 02-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.en.vtt

1.1 kB

Part 10-Module 01-Lesson 06_Support Vector Machines/02. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.pt-BR.vtt

1.1 kB

Part 02-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.zh-CN.vtt

1.1 kB

Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.zh-CN.vtt

1.1 kB

Part 04-Module 02-Lesson 03_Linear Mapping Lab/04. AIPND Linear Algebra Matrix Multiplication v2-TavNlmrIuwI.zh-CN.vtt

1.1 kB

Part 02-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.zh-CN.vtt

1.1 kB

Part 05-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.en.vtt

1.1 kB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/31. Non-Linear Models-HWuBKCZsCo8.zh-CN.vtt

1.1 kB

Part 08-Module 01-Lesson 01_What is Version Control/06. Onward-iXbMaTwfIJI.pt-BR.vtt

1.1 kB

Part 10-Module 01-Lesson 06_Support Vector Machines/08. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.zh-CN.vtt

1.1 kB

Part 10-Module 01-Lesson 06_Support Vector Machines/08. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.pt-BR.vtt

1.1 kB

Part 05-Module 01-Lesson 03_Training Neural Networks/09. Local Minima-gF_sW_nY-xw.en.vtt

1.1 kB

Part 08-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.en.vtt

1.1 kB

Part 10-Module 01-Lesson 06_Support Vector Machines/02. SVM 02 Minimizing Distances V1-mNKk2dBsNGA.zh-CN.vtt

1.1 kB

Part 05-Module 01-Lesson 03_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.en.vtt

1.2 kB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/29. Continuous Perceptrons-07-JJ-aGEfM.zh-CN.vtt

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Part 08-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.en.vtt

1.2 kB

Part 05-Module 01-Lesson 03_Training Neural Networks/06. DL 53 Q Regularization-KxROxcRsHL8.pt-BR.vtt

1.2 kB

Part 09-Module 01-Lesson 01_Shell Workshop/17. Ud206 022 Shell Workshop Outro-68twTPXPrx0.en.vtt

1.2 kB

Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/06. Course Wrap Up-66Ut8Bv6kgc.zh-CN.vtt

1.2 kB

Part 05-Module 01-Lesson 03_Training Neural Networks/16. Error Functions Around the World-34AAcTECu2A.en.vtt

1.2 kB

Part 08-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 17 Git The Big Picture 2-rFtUkk-sCqw.pt-BR.vtt

1.2 kB

Part 02-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.en.vtt

1.2 kB

Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing Introduction-mRbeT2XVL9w.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks-zAkzOZntK6Y.zh-CN.vtt

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Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/05. L3 041 Absolute V Relative Frequency V5-FpnZ7dH4FqU.zh-CN.vtt

1.2 kB

Part 02-Module 02-Lesson 01_Lab Classifying Images/02. AIPND Python Lab - Introduction Video-T_cjVqDULQI.en.vtt

1.2 kB

Part 06-Module 01-Lesson 01_ Create Your Own Image Classifier/02. PROJECT INTRO MAIN V2---9IFCNBM6Y.zh-CN.vtt

1.2 kB

Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.en.vtt

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Part 08-Module 02-Lesson 02_Working On Another Developer's Repository/01. Intro-VkqtlJuZ9rs.pt-BR.vtt

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Part 08-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 25 Git Log Vs Git Log --Oneline Walkthru-rn6v_QgYFnU.pt-BR.vtt

1.2 kB

Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/13. DataVis L3 11 V1-C8DGwJa_adA.zh-CN.vtt

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Part 05-Module 01-Lesson 03_Training Neural Networks/11. Vanishing Gradient-W_JJm_5syFw.zh-CN.vtt

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Part 02-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.en.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.en.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/06. Pull Vs Fetch-kxXdk2HcOBo.ar.vtt

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Part 02-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.zh-CN.vtt

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Part 08-Module 01-Lesson 04_Add Commits To A Repo/07. Outro-5eyvsMvAPYs.zh-CN.vtt

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Part 10-Module 01-Lesson 02_Linear Regression/01. DLND REG 01 Quiz Housing Prices V2-8CSBiVKu35Q.zh-CN.vtt

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Part 05-Module 01-Lesson 03_Training Neural Networks/14. Learning Rate-TwJ8aSZoh2U.pt-BR.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/02. L1 - Sending Branches To Remote-414f0ukhOTY.ar.vtt

1.3 kB

Part 08-Module 01-Lesson 03_Review a Repo's History/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 33 Git Log Vs Git Log --Stat Walkthru-aOICKP_9xiY.ar.vtt

1.3 kB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/08. Why Neural Networks-zAkzOZntK6Y.pt-BR.vtt

1.3 kB

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Part 08-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.en.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. L4 041 Heat Maps V4-RyCdvsmBjtE.en.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.en.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/17. One-Hot Encoding-AePvjhyvsBo.en.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/29. L2 03 Sets V2-eIHNFgTFfnA.en.vtt

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Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/06. PyTorch - Part 4-AEJV_RKZ7VU.en.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.zh-CN.vtt

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Part 05-Module 01-Lesson 02_Implementing Gradient Descent/img/codecogseqn-2.png

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Part 08-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.pt-BR.vtt

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Part 02-Module 02-Lesson 01_Lab Classifying Images/07. AIPND Python Lab - Timing Code Solution Video-ic7gqM4cnl4.zh-CN.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. Data Vis L4 C12 V2-aJncRqqJUYI.en.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz Cross Entropy-njq6bYrPqSU.pt-BR.vtt

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Part 04-Module 01-Lesson 02_Vectors/02. Vectors 2-R7WiQYixvRQ.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/19. Quiz Cross Entropy-njq6bYrPqSU.en.vtt

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Part 02-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.pt-BR.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Algorithm--zhTROHtscQ.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/03. Classsification Example-Dh625piH7Z0.zh-CN.vtt

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Part 08-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.ar.vtt

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Part 10-Module 01-Lesson 05_Naive Bayes/03. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt

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Part 05-Module 01-Lesson 02_Implementing Gradient Descent/07. Backpropagation-MZL97-2joxQ.en-US.vtt

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Part 08-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.zh-CN.vtt

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Part 02-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Using With-OQ-Y0mMjm00.ar.vtt

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Part 08-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.ar.vtt

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Part 02-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.en.vtt

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Part 02-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.pt-BR.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/09. AND And OR Perceptrons-45K5N0P9wJk.zh-CN.vtt

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Part 10-Module 01-Lesson 01_Intro/01. Introduction-bYeteZQrUcE.pt-BR.vtt

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Part 08-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.zh-CN.vtt

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Part 05-Module 01-Lesson 03_Training Neural Networks/15. Momentum-r-rYz_PEWC8.en.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.zh-CN.vtt

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Part 02-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.zh-CN.vtt

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Part 10-Module 01-Lesson 04_Decision Trees/05. Student Admissions-TdgBi6LtOB8.en.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.zh-CN.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.en.vtt

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Part 10-Module 01-Lesson 04_Decision Trees/03. Recommending Apps-nEvW8B1HNq4.pt-BR.vtt

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Part 10-Module 01-Lesson 03_Logistic Regression/01. Classsification Example-Dh625piH7Z0.pt-BR.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/03. Classsification Example-Dh625piH7Z0.pt-BR.vtt

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Part 02-Module 02-Lesson 01_Lab Classifying Images/07. AIPND Python Lab - Timing Code Solution Video-ic7gqM4cnl4.en.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 S Softmax-n8S-v_LCTms.pt-BR.vtt

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Part 02-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.pt-BR.vtt

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Part 02-Module 01-Lesson 03_Control Flow/28. Zip and Enumerate-bSJPzVArE7M.en.vtt

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Part 04-Module 01-Lesson 02_Vectors/02. Vectors 2-R7WiQYixvRQ.pt-BR.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/25. Gradient Descent Algorithm-snxmBgi_GeU.en.vtt

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Part 08-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.ar.vtt

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Part 05-Module 01-Lesson 03_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.pt-BR.vtt

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Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/08. L3 071 Pie Charts V3-kSrJGJHTKV8.en.vtt

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Part 02-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.zh-CN.vtt

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Part 08-Module 01-Lesson 01_What is Version Control/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.en.vtt

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Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L5 71 Merging-gQiWicrreJg.ar.vtt

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Part 10-Module 01-Lesson 04_Decision Trees/03. Recommending Apps-nEvW8B1HNq4.zh-CN.vtt

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Part 02-Module 02-Lesson 01_Lab Classifying Images/03. AIPND Python Lab - Lab Instructions Video-Pv4yi_OJtuU.pt-BR.vtt

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Part 08-Module 01-Lesson 01_What is Version Control/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.ar.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 S Softmax-n8S-v_LCTms.en.vtt

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Part 03-Module 01-Lesson 04_Pandas/06. Pandas 3 V1-yhMT0X6YPFA.zh-CN.vtt

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Part 02-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.zh-CN.vtt

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Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. DataVis L3 12 V2-fo0VIbQRBJk.zh-CN.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.zh-CN.vtt

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Part 02-Module 01-Lesson 03_Control Flow/28. Zip and Enumerate-bSJPzVArE7M.pt-BR.vtt

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Part 02-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.ar.vtt

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Part 03-Module 01-Lesson 02_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/10. Perceptron Algorithm--zhTROHtscQ.en.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/25. Gradient Descent Algorithm-snxmBgi_GeU.pt-BR.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. Data Vis L4 C02 V1-wBDC5AmYgyg.zh-CN.vtt

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Part 08-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.en.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/15. L4 151 Lesson Summary V1-5igqM44KEmw.pt-BR.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/04. Ud206 004 Shell P2 - Your First Command-ggf5WhOYy1U.en.vtt

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Part 10-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.pt-BR.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/06. 09 Higher Dimensions-eBHunImDmWw.pt-BR.vtt

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Part 02-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.en.vtt

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Part 02-Module 02-Lesson 01_Lab Classifying Images/03. AIPND Python Lab - Lab Instructions Video-Pv4yi_OJtuU.en.vtt

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Part 08-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.pt-BR.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.pt-BR.vtt

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Part 05-Module 01-Lesson 03_Training Neural Networks/12. Other Activation Functions-kA-1vUt6cvQ.en.vtt

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Part 02-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.pt-BR.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/06. Data Vis L4 C06 V2-f8Kh4PByiEA.zh-CN.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/06. Ud206 007 Shell P4 - Current Working Directory-X7dsy3oMHp0.ar.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. L4 111 Faceting V2-oUYRqI6wFGw.pt-BR.vtt

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Part 05-Module 01-Lesson 03_Training Neural Networks/15. Momentum-r-rYz_PEWC8.pt-BR.vtt

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Part 02-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.en.vtt

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Part 03-Module 01-Lesson 02_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.en.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.pt-BR.vtt

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Part 02-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.en.vtt

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Part 10-Module 01-Lesson 03_Logistic Regression/01. Classsification Example-Dh625piH7Z0.en.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/03. Classsification Example-Dh625piH7Z0.en.vtt

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Part 10-Module 01-Lesson 06_Support Vector Machines/03. SVM 03 Error Function V1-l-ahImxoi-U.en.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.zh-CN.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/05. Ud206 006 Shell P3 - Navigating Directories-i9Xp94DmdB8.ar.vtt

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Part 02-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.ar.vtt

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Part 02-Module 01-Lesson 05_Scripting/08. Scripting With Raw Input-Fs9uLV2qfgI.en.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/07. L4 071 Box Plots V4-3gxJag12T0g.zh-CN.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/16. Ud206 021 Shell P14 Aliases-kINmpgXxayM.en.vtt

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Part 02-Module 01-Lesson 05_Scripting/21. The Standard Library-Fw3vf0tDrJM.zh-CN.vtt

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Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/05. LinearAlgebra 05 RNN FFNN Reminder PAIND 82mp4 V1-SSgQRH-V-1k.zh-CN.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/27. L2 04 Tuples V3-33xN-AbTMoc.pt-BR.vtt

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Part 10-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.pt-BR.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.pt-BR.vtt

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Part 08-Module 01-Lesson 01_What is Version Control/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.pt-BR.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.zh-CN.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. Data Vis L4 C11 V1-3Ls6w8Cd8n4.zh-CN.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. Data Vis L4 C09 V1-OnzWhpgM9Vs.zh-CN.vtt

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Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. L3 031 Bar Charts V3-ybXcduB6cXA.zh-CN.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.zh-CN.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. Data Vis L4 C02 V1-wBDC5AmYgyg.pt-BR.vtt

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Part 10-Module 01-Lesson 04_Decision Trees/03. Recommending Apps-nEvW8B1HNq4.en.vtt

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Part 01-Module 01-Lesson 01_Welcome to AI Programming with Python/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.zh-CN.vtt

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Part 02-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.en.vtt

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Part 02-Module 02-Lesson 01_Lab Classifying Images/07. AIPND Python Lab - Timing Code Solution Video-ic7gqM4cnl4.pt-BR.vtt

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Part 08-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.pt-BR.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. Data Vis L4 C04 V1-O6ElT4IFXc0.zh-CN.vtt

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Part 05-Module 01-Lesson 02_Implementing Gradient Descent/img/hidden-errors.gif

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Part 08-Module 01-Lesson 06_Undoing Changes/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L6 17 Soft Vs Medium Vs Hard Walkthrough-UN7ki2G2yKc.en.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.ar.vtt

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Part 10-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.zh-CN.vtt

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Part 02-Module 01-Lesson 03_Control Flow/20. L3 08 While Loops V3-7Sf5tcPlKQw.zh-CN.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/13. Ud206 017 Shell P11 - Variables-Dx3WlMZk8iA.pt-BR.vtt

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Part 02-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.pt-BR.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/01. Intro-SBUOhyXcR1Q.en.vtt

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Part 04-Module 01-Lesson 02_Vectors/02. Vectors 2-R7WiQYixvRQ.en.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/01. Intro-SBUOhyXcR1Q.pt-BR.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.pt-BR.vtt

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Part 02-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.zh-CN.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.en.vtt

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Part 05-Module 01-Lesson 02_Implementing Gradient Descent/img/weight-label-reference.gif

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Part 02-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.en.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction-tn-CrUTkCUc.zh-CN.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/09. Ud206 011 Shell P7 - Downloading-h7FhU1f4TgE.pt-BR.vtt

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Part 02-Module 01-Lesson 05_Scripting/24. Techniques For Importing Modules Part II-aASigWQ_XU0.ar.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.en.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/03. Ud206 003 Shell P1 - Opening A Terminal-4q6Vtym-nno.ar.vtt

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Part 02-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.pt-BR.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/34. Calculating The Gradient 1 -tVuZDbUrzzI.zh-CN.vtt

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Part 02-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.zh-CN.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.zh-CN.vtt

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Part 02-Module 01-Lesson 05_Scripting/13. Handling Error Specifying Exceptions-EHW5I7shdJg.ar.vtt

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Part 09-Module 01-Lesson 01_Shell Workshop/15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.en.vtt

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Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/05. LinearAlgebra 05 RNN FFNN Reminder PAIND 82mp4 V1-SSgQRH-V-1k.en.vtt

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Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/08. L3 071 Pie Charts V3-kSrJGJHTKV8.pt-BR.vtt

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Part 02-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.en.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/03. L1 - New Repo Git Commands On GitHub-myuGLZLYpYY.ar.vtt

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Part 03-Module 01-Lesson 04_Pandas/06. Pandas 3 V1-yhMT0X6YPFA.en.vtt

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Part 02-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.en.vtt

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Part 05-Module 01-Lesson 02_Implementing Gradient Descent/img/backprop-error.gif

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Part 09-Module 01-Lesson 01_Shell Workshop/13. Ud206 017 Shell P11 - Variables-Dx3WlMZk8iA.en.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/06. 09 Higher Dimensions-eBHunImDmWw.en.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.zh-CN.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/22. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.pt-BR.vtt

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Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/13. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.en.vtt

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Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. DataVis L3 12 V2-fo0VIbQRBJk.en.vtt

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Part 10-Module 01-Lesson 07_Ensemble Methods/03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.pt-BR.vtt

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Part 02-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.en.vtt

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Part 08-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.ar.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.zh-CN.vtt

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Part 02-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.pt-BR.vtt

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Part 10-Module 01-Lesson 07_Ensemble Methods/03. MLND SL EM 03 AdaBoost V1 MAIN V1-HD6SRBWKGUE.en.vtt

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Part 02-Module 01-Lesson 05_Scripting/05. Running A Python Script-vMKemwCderg.ar.vtt

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Part 10-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.en.vtt

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Part 10-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.zh-CN.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.en.vtt

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Part 10-Module 01-Lesson 05_Naive Bayes/01. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.zh-CN.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.ar.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/09. AND And OR Perceptrons-45K5N0P9wJk.en.vtt

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Part 03-Module 01-Lesson 04_Pandas/05. Pandas 2 V1-B7MuFIwboKU.zh-CN.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.zh-CN.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/32. 29 Neural Network Architecture 2-FWN3Sw5fFoM.en.vtt

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Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/03. L3 - Include Upstream Changes-VvoC6hN6FjU.zh-CN.vtt

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Part 02-Module 01-Lesson 05_Scripting/11. Errors And Exceptions-DmthSiy2d0U.pt-BR.vtt

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Part 02-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.pt-BR.vtt

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Part 02-Module 01-Lesson 03_Control Flow/20. L3 08 While Loops V3-7Sf5tcPlKQw.en.vtt

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Part 10-Module 01-Lesson 08_Outro/index.html

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Part 07-Module 01-Lesson 01_How Do I Continue From Here/index.html

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Part 10-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.en.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.en.vtt

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Part 10-Module 01-Lesson 07_Ensemble Methods/index.html

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Part 02-Module 01-Lesson 03_Control Flow/28. Zip and Enumerate-bSJPzVArE7M.ar.vtt

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Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.en.vtt

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Part 10-Module 01-Lesson 03_Logistic Regression/index.html

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Part 04-Module 02-Lesson 02_Linear Combination Lab/index.html

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Part 04-Module 02-Lesson 02_Linear Combination Lab/02. AIPND Linear Algebra Linear Combination Solution v2-eMYcAqnR8N4.zh-CN.vtt

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Part 08-Module 02-Lesson 01_Working With Remotes/05. L1 - Adding A Commit On GitHub-UBYxcTg6VLU.ar.vtt

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Part 11-Module 01-Lesson 01_Visualizing The Importance Of The Learning Rate/index.html

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/28. Gradient Descent Vs Perceptron Algorithm-uL5LuRPivTA.zh-CN.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.pt-BR.vtt

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Part 08-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.ar.vtt

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Part 02-Module 01-Lesson 03_Control Flow/25. Break and Continue-F6qJAv9ts9Y.zh-CN.vtt

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.pt-BR.vtt

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Part 02-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.pt-BR.vtt

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.pt-BR.vtt

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Part 10-Module 01-Lesson 06_Support Vector Machines/05. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.zh-CN.vtt

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Part 02-Module 01-Lesson 01_Why Python Programming/index.html

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Part 10-Module 01-Lesson 02_Linear Regression/index.html

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Part 09-Module 01-Lesson 01_Shell Workshop/12. Ud206 016 Shell P10 - Searching And Pipes-AWpVScp9z4s.en.vtt

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assets/css/styles.css

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Part 04-Module 02-Lesson 03_Linear Mapping Lab/index.html

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Part 09-Module 01-Lesson 01_Shell Workshop/01. Shell Intro--EtN5oD8MM0.zh-CN.vtt

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Part 02-Module 02-Lesson 01_Lab Classifying Images/08. AIPND Python Lab - Command Line Arguments Solutions Video-tuBIyuPrXFY.en.vtt

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Part 08-Module 01-Lesson 02_Create A Git Repo/index.html

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Part 01-Module 01-Lesson 01_Welcome to AI Programming with Python/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.pt-BR.vtt

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Part 10-Module 01-Lesson 04_Decision Trees/index.html

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.en.vtt

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Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.pt-BR.vtt

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Part 03-Module 01-Lesson 03_NumPy/09. NumPy 5 V1-vGjI-WTnEbY.zh-CN.vtt

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Part 01-Module 01-Lesson 01_Welcome to AI Programming with Python/03. Deadline Policy.html

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Part 08-Module 01-Lesson 01_What is Version Control/03. Git and Version Control Terminology.html

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Part 02-Module 01-Lesson 05_Scripting/04. [For Windows] Configuring Git Bash to Run Python.html

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Part 08-Module 01-Lesson 02_Create A Git Repo/02. Create A Repo From Scratch.html

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/11. Perceptron Algorithm.html

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Part 08-Module 01-Lesson 01_What is Version Control/04. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 23 Configure Terminal-h00n9QLfbqU.mp4

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Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/16. L3 141 Lesson Summary V1-7ZaSMbsJUWU.mp4

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/10. 07 Perceptron Algorithm Trick-lif_qPmXvWA.mp4

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Part 09-Module 01-Lesson 01_Shell Workshop/15. Ud206 020 Shell P13 Controlling The Shell Prompt ($PS1)-nnqvRZ-Fx3k.mp4

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Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/05. LinearAlgebra 05 RNN FFNN Reminder PAIND 82mp4 V1-SSgQRH-V-1k.mp4

3.7 MB

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3.7 MB

Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. Data Vis L4 C13 V1-Z7NjwA6jbjU.mp4

3.7 MB

Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. Data Vis L4 C03 V1-0F6ldBC6Nbs.mp4

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/24. Gradient Descent-rhVIF-nigrY.mp4

3.8 MB

Part 03-Module 01-Lesson 04_Pandas/05. Pandas 2 V1-B7MuFIwboKU.mp4

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Part 08-Module 01-Lesson 01_What is Version Control/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 30 Configure Terminal-CCYjHfBk9hw.mp4

3.8 MB

Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/07. Outro-ot4fPX1jzOI.mp4

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Part 03-Module 01-Lesson 04_Pandas/04. Pandas 1 V1-iXnYN8cnhzs.mp4

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/13. L4 131 Line Plots V1-kSntEWPuOa0.mp4

3.8 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 2-6nUUeQ9AeUA.mp4

3.8 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/05. Linear Boundaries-X-uMlsBi07k.mp4

3.8 MB

Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/02. L3 011 Intro V3-4BpAF4MYKm8.mp4

3.9 MB

Part 05-Module 01-Lesson 03_Training Neural Networks/13. Batch vs Stochastic Gradient Descent-2p58rVgqsgo.mp4

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Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/06. Course Wrap Up-66Ut8Bv6kgc.mp4

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/16. DL 18 Q Softmax V2-RC_A9Tu99y4.mp4

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4.0 MB

Part 02-Module 01-Lesson 01_Why Python Programming/03. L1 03 Programming In Python V4-O1cTNYAjeeg.mp4

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Part 08-Module 02-Lesson 01_Working With Remotes/02. L1 - Remote Repos Intro-AnSlYftJnwA.mp4

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/22. DL 27 Multi-Class Cross Entropy 2 Fix-keDswcqkees.mp4

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Part 10-Module 01-Lesson 04_Decision Trees/04. MLND SL DT 04 Q Student Admissions V3 MAIN V1-MOa335cQGI4.mp4

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/12. L4 121 Adaptations Of Univariate Plots V3-MXcqplnUB0o.mp4

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Part 10-Module 01-Lesson 04_Decision Trees/02. MLND SL DT 02 Recommending Apps 2 MAIN V3-KSrIYqKZwCA.mp4

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Part 02-Module 01-Lesson 02_Data Types and Operators/35. L2 01 Compound Data Structures V1-jmQ8IKvQgBU.mp4

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/09. L4 091 Clustered Bar Charts V4-0rFp55TtEJM.mp4

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Part 05-Module 01-Lesson 01_Introduction to Neural Networks/20. Cross Entropy 1-iREoPUrpXvE.mp4

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Part 08-Module 01-Lesson 03_Review a Repo's History/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 27 Confession Corner-xtsugblSwrU.mp4

4.2 MB

Part 02-Module 01-Lesson 05_Scripting/01. Scripting-Qxe_gCiXUDg.mp4

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Part 02-Module 01-Lesson 05_Scripting/13. Handling Errors Try Except Finally-S6hwBZG0KwM.mp4

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Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/04. L4 041 Heat Maps V4-RyCdvsmBjtE.mp4

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Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/05. DataVis L3 04 V2-HLum_ys7RJ0.mp4

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Part 03-Module 01-Lesson 03_NumPy/03. NumPy 0 V1-vyjMs8KFHlE.mp4

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Part 08-Module 01-Lesson 03_Review a Repo's History/07. A Repository's History - Outro-9rUf2HbdAd8.mp4

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Part 08-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 03 Version Control Systems-b7TjsVoTo3Q.mp4

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Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing Introduction-mRbeT2XVL9w.mp4

4.4 MB

Part 09-Module 01-Lesson 01_Shell Workshop/02. Ud206 002 P0 Windows Installing Git Bash-UQZvV6VTlGQ.mp4

4.4 MB

Part 02-Module 01-Lesson 04_Functions/18. Conclusion-QRnLr7pwHyk.mp4

4.5 MB

Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/02. L3 - Pull Request In Action-d3AGtKmHxUk.mp4

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Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/06. Linear Algebra 06 FeedForward A V7 PAIND83 V1-kQ6rNndcA1I.mp4

4.6 MB

Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/13. L3 111 Descriptive Stats Outliers And Axis Limits V2-kQoK7UwrGh0.mp4

4.6 MB

Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/11. L4 111 Faceting V2-oUYRqI6wFGw.mp4

4.6 MB

Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/03. L4 031 Overplotting Transparency And Jitter 1 V4-BGqR-nxgMtg.mp4

4.7 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/32. Combinando modelos-Boy3zHVrWB4.mp4

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Part 10-Module 01-Lesson 04_Decision Trees/01. MLND SL DT 01 Recommending Apps 1 MAIN V3-uI_yNrqqKVg.mp4

4.8 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/22. L2 07 Lists And Membership Operators II V3-3Nj-b-ZzqH8.mp4

4.8 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/23. Error Function-V5kkHldUlVU.mp4

4.8 MB

Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/14. L3 121 Scales And Transformations V3-PE53ga2bOME.mp4

4.8 MB

Part 04-Module 01-Lesson 02_Vectors/01. Vectors 1-oPBz-MLVUHk.mp4

4.9 MB

Part 02-Module 02-Lesson 01_Lab Classifying Images/08. AIPND Python Lab - Command Line Arguments Solutions Video-tuBIyuPrXFY.mp4

4.9 MB

Part 05-Module 01-Lesson 03_Training Neural Networks/05. Model Complexity Graph-NnS0FJyVcDQ.mp4

4.9 MB

Part 08-Module 01-Lesson 04_Add Commits To A Repo/07. Outro-5eyvsMvAPYs.mp4

5.0 MB

Part 02-Module 01-Lesson 05_Scripting/24. Techniques For Importing Modules Part II-aASigWQ_XU0.mp4

5.0 MB

Part 08-Module 01-Lesson 01_What is Version Control/03. Nd016 WebND Ud123 Gitcourse BETAMOJITO L1 18 Recap-xqD9ImXXXHk.mp4

5.0 MB

Part 10-Module 01-Lesson 06_Support Vector Machines/08. SVM 13 RBF Kernel 2 V1-ozl9UWVP0MI.mp4

5.1 MB

Part 03-Module 01-Lesson 03_NumPy/09. NumPy 5 V1-vGjI-WTnEbY.mp4

5.1 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/07. DL 06 Perceptron Definition Fix V2-hImSxZyRiOw.mp4

5.1 MB

Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/09. DataVis L3 08 V2-f1we_0dUSXg.mp4

5.2 MB

Part 02-Module 01-Lesson 01_Why Python Programming/02. L1 01 Intro V3-yyNtiUyI5Tw.mp4

5.2 MB

Part 02-Module 01-Lesson 05_Scripting/08. Scripting With Raw Input-Fs9uLV2qfgI.mp4

5.2 MB

Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/02. L4 021 Scatterplots And Correlation V2-wqMwTDVT9_Y.mp4

5.3 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/25. L2 05 Lists Methods V1-WXkPm4rv6ng.mp4

5.3 MB

Part 08-Module 02-Lesson 02_Working On Another Developer's Repository/02. Forking a Repository - What Is Forking-z4mkVwqVztc.mp4

5.3 MB

Part 02-Module 01-Lesson 05_Scripting/24. Techniques For Importing Modules-jPGyFgcIvsM.mp4

5.3 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/33. DL 41 Feedforward FIX V2-hVCuvMGOfyY.mp4

5.3 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/15. Discrete vs. Continuous-Rm2KxFaPiJg.mp4

5.3 MB

Part 02-Module 02-Lesson 01_Lab Classifying Images/11. AIPND Python Lab - Check Images Solutions Video-2jaZfP7otSs.mp4

5.4 MB

Part 03-Module 01-Lesson 06_Matplotlib and Seaborn Part 2/15. L4 151 Lesson Summary V1-5igqM44KEmw.mp4

5.4 MB

Part 10-Module 01-Lesson 04_Decision Trees/05. Student Admissions-TdgBi6LtOB8.mp4

5.4 MB

Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/07. LinearAlgebra 07 FeedForward PAIND85 V3-pvF6jpS_-cU.mp4

5.5 MB

Part 02-Module 01-Lesson 05_Scripting/27. Experimenting With An Interpreter-hspPtnQwMPg.mp4

5.6 MB

Part 02-Module 01-Lesson 04_Functions/02. Default Arguments-cG6UfBZX2KI.mp4

5.6 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/22. L2 09 Lists And Membership Operators V2-rNV_E50wcWM.mp4

5.7 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/34. DL 46 Calculating The Gradient 2 V2 (2)-7lidiTGIlN4.mp4

5.7 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/18. Maximum Likelihood 1-1yJx-QtlvNI.mp4

5.7 MB

Part 10-Module 01-Lesson 06_Support Vector Machines/03. SVM 03 Error Function V1-l-ahImxoi-U.mp4

5.9 MB

Part 02-Module 01-Lesson 03_Control Flow/01. Introduction-eUrvACMMJ5w.mp4

5.9 MB

Part 02-Module 01-Lesson 05_Scripting/17. Reading And Writing Files Part II-1GRv1S6K8gQ.mp4

5.9 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/29. L2 03 Sets V2-eIHNFgTFfnA.mp4

5.9 MB

Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/08. L3 071 Pie Charts V3-kSrJGJHTKV8.mp4

6.1 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/22. L2 08 Lists And Membership Operators V2-JAbZdZg5_x8.mp4

6.1 MB

Part 10-Module 01-Lesson 05_Naive Bayes/03. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4

6.1 MB

Part 08-Module 01-Lesson 03_Review a Repo's History/05. Nd016 WebND Ud123 Gitcourse BETAMOJITO L3 42 Git Log -P Output Walkthru-A8Kwocr-K8c.mp4

6.2 MB

Part 04-Module 01-Lesson 02_Vectors/03. Vectors 3-mWV_MpEjz9c.mp4

6.3 MB

Part 08-Module 01-Lesson 06_Undoing Changes/01. Undoing Changes - Intro-Kfi7l41wUVc.mp4

6.3 MB

Part 10-Module 01-Lesson 04_Decision Trees/03. Recommending Apps-nEvW8B1HNq4.mp4

6.3 MB

Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. L3 031 Bar Charts V3-ybXcduB6cXA.mp4

6.4 MB

Part 05-Module 01-Lesson 03_Training Neural Networks/04. Underfitting And Overfitting-xj4PlXMsN-Y.mp4

6.4 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/34. Backpropagation V2-1SmY3TZTyUk.mp4

6.5 MB

Part 04-Module 02-Lesson 02_Linear Combination Lab/02. AIPND Linear Algebra Linear Combination Solution v2-eMYcAqnR8N4.mp4

6.6 MB

Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/01. Tagging, Branching, And Merging - Intro-sMf_r4_z-Ls.mp4

6.6 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/21. CrossEntropy V1-1BnhC6e0TFw.mp4

6.6 MB

Part 03-Module 01-Lesson 03_NumPy/11. NumPy 6 V1-wtLRuGK0kW4.mp4

6.6 MB

Part 02-Module 01-Lesson 05_Scripting/02. Python Installation-2_P05aYChqQ.mp4

6.7 MB

Part 10-Module 01-Lesson 01_Intro/01. Introduction-bYeteZQrUcE.mp4

6.8 MB

Part 08-Module 01-Lesson 02_Create A Git Repo/01. Creating New Repositories - Intro-KT163BkqIeg.mp4

6.8 MB

Part 03-Module 01-Lesson 04_Pandas/08. Pandas 4 V1-eMHUn9v9dds.mp4

6.9 MB

Part 03-Module 01-Lesson 05_Matplotlib and Seaborn Part 1/04. DataVis L3 03 V2-srRhFrSPdvs.mp4

7.0 MB

Part 10-Module 01-Lesson 06_Support Vector Machines/04. SVM 09 Polynomial Kernel 1 V1-8t2tVDHNBnk.mp4

7.1 MB

Part 03-Module 01-Lesson 02_Jupyter Notebooks/02. Jupyter-qiYDWFLyXvg.mp4

7.1 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/14. Error Functions-jfKShxGAbok.mp4

7.2 MB

Part 02-Module 01-Lesson 05_Scripting/26. Third Party Libraries And Package Managers-epOze9gC6T4.mp4

7.4 MB

Part 02-Module 01-Lesson 05_Scripting/06. Programming Environment Setup-EKxDnCK0NAk.mp4

7.4 MB

Part 02-Module 02-Lesson 01_Lab Classifying Images/15. AIPND Python Lab - Calculate Results Solutions Video-b8dsDty8HDc.mp4

7.5 MB

Part 08-Module 01-Lesson 04_Add Commits To A Repo/01. Adding Commits To A Repo - Intro-sLcOFQ4mGvo.mp4

7.5 MB

Part 03-Module 01-Lesson 03_NumPy/04. NumPy 1 V1-EOHW29kDg7w.mp4

7.5 MB

Part 05-Module 01-Lesson 01_Introduction to Neural Networks/02. Introduction-tn-CrUTkCUc.mp4

7.5 MB

Part 05-Module 01-Lesson 03_Training Neural Networks/07. Regularization-ndYnUrx8xvs.mp4

7.6 MB

Part 08-Module 02-Lesson 02_Working On Another Developer's Repository/02. L2 - Pushing To A Fork-WRgNpr19t48.mp4

7.6 MB

Part 02-Module 01-Lesson 03_Control Flow/02. Indentation-G8qUNOTHtrM.mp4

7.6 MB

Part 08-Module 01-Lesson 05_Tagging, Branching, and Merging/img/ud123-l5-resolve-merge-conflict.gif

7.7 MB

Part 03-Module 01-Lesson 04_Pandas/09. Pandas 5 V1-lClsJnZn_7w.mp4

7.9 MB

Part 03-Module 01-Lesson 04_Pandas/10. Pandas 6 V1-GS1kj04XQcM.mp4

7.9 MB

Part 01-Module 01-Lesson 01_Welcome to AI Programming with Python/02. AIPND Instructors FINAL V5-h0_y3eb_3m4.mp4

8.0 MB

Part 02-Module 01-Lesson 04_Functions/11. L4 08 Lambda Expressions V3-wkEmPz1peJM.mp4

8.0 MB

Part 03-Module 01-Lesson 04_Pandas/12. Pandas 7 V1-ruTYp-twXO0.mp4

8.1 MB

Part 08-Module 02-Lesson 03_Staying In Sync With A Remote Repository/05. L3 - Squashing In Action-cL6ehKtJLUM.mp4

8.2 MB

Part 02-Module 02-Lesson 01_Lab Classifying Images/04. AIPND Python Lab - Workspace How-to Video-EQTttywUnXQ.mp4

8.2 MB

Part 02-Module 02-Lesson 01_Lab Classifying Images/14. AIPND Python Lab - Solutions Video-Jfsbtm6yPXY.mp4

8.2 MB

Part 04-Module 01-Lesson 03_Linear Combination/01. Linear Combinations 1-fmal7UE7dEE.mp4

8.3 MB

Part 08-Module 02-Lesson 01_Working With Remotes/01. Intro-SBUOhyXcR1Q.mp4

8.3 MB

Part 02-Module 02-Lesson 01_Lab Classifying Images/09. AIPND Python Lab - Mutable Data Types and Functions Video-LIOmuZdLymw.mp4

8.3 MB

Part 02-Module 01-Lesson 01_Why Python Programming/04. L1 02 Course Overview V4-vFxXSIV5cHM.mp4

8.4 MB

Part 10-Module 01-Lesson 05_Naive Bayes/01. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4

8.5 MB

Part 03-Module 01-Lesson 03_NumPy/07. NumPy 3 V1-Rt4aydeo9F8.mp4

8.5 MB

Part 04-Module 01-Lesson 01_Introduction/03. Essence Of Linear Algebra Intro -EHcxDZpeGFg.mp4

8.6 MB

Part 04-Module 02-Lesson 04_Linear Algebra in Neural Networks/03. Dolly Inside Head 1 -tyam5ZncjNw.mp4

8.7 MB

Part 02-Module 02-Lesson 01_Lab Classifying Images/13. AIPND Python Lab - Classify Images Solutions Video-sBbY6HmJG9M.mp4

8.8 MB

Part 02-Module 01-Lesson 04_Functions/01. Introduction-p5L4rTV1Pgk.mp4

8.9 MB

Part 08-Module 01-Lesson 01_What is Version Control/01. Gitfinal L1 01 Welcome-lbR82UD5F0c.mp4

8.9 MB

Part 02-Module 01-Lesson 04_Functions/05. Variable Scope-rYubQlAM-gw.mp4

9.0 MB

Part 02-Module 02-Lesson 01_Lab Classifying Images/16. AIPND Python Lab - Printing Results Solutions Video-XRnoQry3ubU.mp4

9.2 MB

Part 10-Module 01-Lesson 06_Support Vector Machines/09. SVM 14 RBF Kernel 3 V1-DctkE8kaWPY.mp4

9.3 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/16. Type Type Conversion-yN6Fam_vZrU.mp4

9.4 MB

Part 01-Module 01-Lesson 01_Welcome to AI Programming with Python/01. AIPND Intro FINAL-CeXA-uzNFp4.mp4

9.6 MB

Part 11-Module 01-Lesson 01_Visualizing The Importance Of The Learning Rate/01. 学习率简介-HLMjeDez7ps.mp4

9.6 MB

Part 10-Module 01-Lesson 06_Support Vector Machines/05. SVM 10 Polynomial Kernel 2 V2-9RfFvZ9DIRg.mp4

9.7 MB

Part 07-Module 01-Lesson 01_How Do I Continue From Here/01. Next Steps Into The AI World Outro-40CCUu30w8c.mp4

9.7 MB

Part 10-Module 01-Lesson 08_Outro/01. Conclusion-hJEuaOUu2yA.mp4

9.7 MB

Part 03-Module 01-Lesson 03_NumPy/08. NumPy 4 V1-jeU7lLgyMms.mp4

9.8 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/05. Assignment Operators-p_qfzL-x3Cs.mp4

10 MB

Part 03-Module 01-Lesson 01_Anaconda/02. Why Anaconda-VXukXZv7SCQ.mp4

10 MB

Part 08-Module 01-Lesson 01_What is Version Control/03. Gitfinal L1 13 Git'S Terminology-bf26adzeqMM.mp4

10 MB

Part 02-Module 01-Lesson 05_Scripting/21. The Standard Library-Fw3vf0tDrJM.mp4

10 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/31. L2 02 Dictionaries And Identiy Operators V3-QR8HTxCTWi0.mp4

11 MB

Part 09-Module 01-Lesson 01_Shell Workshop/01. Shell Intro--EtN5oD8MM0.mp4

11 MB

Part 02-Module 01-Lesson 05_Scripting/17. Reading And Writing Files-w-ZG6DMkVi4.mp4

11 MB

Part 02-Module 01-Lesson 03_Control Flow/20. L3 08 While Loops V3-7Sf5tcPlKQw.mp4

11 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/02. Arithmetic Operators-M8TIOK2P2yw.mp4

11 MB

Part 05-Module 01-Lesson 02_Implementing Gradient Descent/03. Gradient Descent-Math-7sxA5Ap8AWM.mp4

11 MB

Part 02-Module 01-Lesson 05_Scripting/20. Importing Files-qjeSn6zZbR0.mp4

11 MB

Part 08-Module 01-Lesson 03_Review a Repo's History/01. A Repository's History - Intro-UBmg3syQS0E.mp4

12 MB

Part 02-Module 01-Lesson 03_Control Flow/07. Truth Value Testing-e52uw7ejV8k.mp4

13 MB

Part 02-Module 01-Lesson 03_Control Flow/25. Break and Continue-F6qJAv9ts9Y.mp4

13 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/01. Introduction-4F7SC0C6tfQ.mp4

13 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/25. L2 06 Lists Methods V1-tz2Ja1Eaeqo.mp4

13 MB

Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/10. Linear Transformations 2-imtEd8M6__s.mp4

14 MB

Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/03. Part 1 V2-n4mbZYIfKb4.mp4

14 MB

Part 04-Module 01-Lesson 03_Linear Combination/02. Linear Combinations 2-RsKJNDTb8nw.mp4

14 MB

Part 03-Module 01-Lesson 03_NumPy/05. NumPy 2 V1-KR3hHf9Zxxg.mp4

14 MB

Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/09. PyTorch - Part 7-hFu7GTfRWks.mp4

15 MB

Part 02-Module 01-Lesson 03_Control Flow/07. Complex Boolean Expressions-gWmIKWgzFqI.mp4

15 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/05. Variables-7pxpUot4x0w.mp4

15 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/08. Números inteiros e floats-MiJ1vfWp-Ts.mp4

15 MB

Part 02-Module 01-Lesson 04_Functions/02. Defining Functions-IP_tJYhynbc.mp4

16 MB

Part 02-Module 01-Lesson 03_Control Flow/28. Zip and Enumerate-bSJPzVArE7M.mp4

16 MB

Part 02-Module 01-Lesson 04_Functions/08. Documentation-_Vl9NJkA6JQ.mp4

16 MB

Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/08. Py Part 6 V1-HiTih59dCWQ.mp4

16 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/05. L2 04b Variables II V3-4IJqbP8vi6A.mp4

17 MB

Part 02-Module 01-Lesson 03_Control Flow/02. If Statements-jWiIUMrwPqA.mp4

17 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/13. Strings-ySZDrs-nNqg.mp4

17 MB

Part 02-Module 01-Lesson 03_Control Flow/31. List Comprehensions-6qxo-NV9v_s.mp4

17 MB

Part 02-Module 01-Lesson 03_Control Flow/02. If Elif and Else-KZubH5XT0eU.mp4

18 MB

Part 02-Module 01-Lesson 03_Control Flow/10. For Loops-UtX0PXSUCdY.mp4

18 MB

Part 10-Module 01-Lesson 06_Support Vector Machines/07. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4

19 MB

Part 02-Module 01-Lesson 04_Functions/14. Iterators And Generators-tYH8X4Zeh-0.mp4

19 MB

Part 02-Module 01-Lesson 03_Control Flow/07. Good And Bad Examples-95oLh3WtdhY.mp4

20 MB

Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/11. Linear Transformations 3-g_yTyRwMzXU.mp4

20 MB

Part 04-Module 01-Lesson 04_Linear Transformation and Matrices/09. Linear Transformations 1-99jYIxBRDww.mp4

21 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/08. Whitespace-UxkIwcOczQQ.mp4

21 MB

Part 10-Module 01-Lesson 05_Naive Bayes/02. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4

21 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/10. Boolean Comparison and Logical Operators-iNNsUJIDtVU.mp4

22 MB

Part 02-Module 01-Lesson 02_Data Types and Operators/19. String Methods-Bv7CAxVOONs.mp4

24 MB

Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/10. Py Part 8 V1-3eqn5sgCOsY.mp4

25 MB

Part 10-Module 01-Lesson 06_Support Vector Machines/06. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4

27 MB

Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/07. Py Part 5 V2-coBbbrGZXI0.mp4

27 MB

Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/05. Py Part 3 V2-u8hDj5aJK6I.mp4

28 MB

Part 05-Module 01-Lesson 04_Deep Learning with PyTorch/04. Py Part 2 V1-u50_ZyKqt8g.mp4

35 MB