[DesireCourse.Net] Udemy - Complete Tensorflow 2 and Keras Deep Learning Bootcamp

File Name

Size

1. Course Overview, Installs, and Setup/1. Course Overview.mp4

26 MB

1. Course Overview, Installs, and Setup/1. Course Overview.srt

7.5 kB

1. Course Overview, Installs, and Setup/2. Course Setup and Installation.mp4

152 MB

1. Course Overview, Installs, and Setup/2. Course Setup and Installation.srt

35 kB

1. Course Overview, Installs, and Setup/2.1 FINAL_TF2_FILES.zip.zip

99 MB

1. Course Overview, Installs, and Setup/2.2 requirements.txt.txt

138 B

1. Course Overview, Installs, and Setup/3. FAQ - Frequently Asked Questions.html

5.3 kB

1. Course Overview, Installs, and Setup/3.1 FINAL_TF2_FILES.zip.zip

99 MB

10. Natural Language Processing/1. Introduction to NLP Section.mp4

35 MB

10. Natural Language Processing/1. Introduction to NLP Section.srt

8.8 kB

10. Natural Language Processing/2. NLP - Part One - The Data.mp4

22 MB

10. Natural Language Processing/2. NLP - Part One - The Data.srt

6.9 kB

10. Natural Language Processing/3. NLP - Part Two - Text Processing.mp4

23 MB

10. Natural Language Processing/3. NLP - Part Two - Text Processing.srt

5.9 kB

10. Natural Language Processing/4. NLP - Part Three - Creating Batches.mp4

82 MB

10. Natural Language Processing/4. NLP - Part Three - Creating Batches.srt

18 kB

10. Natural Language Processing/5. NLP - Part Four - Creating the Model.mp4

64 MB

10. Natural Language Processing/5. NLP - Part Four - Creating the Model.srt

14 kB

10. Natural Language Processing/6. NLP - Part Five - Training the Model.mp4

65 MB

10. Natural Language Processing/6. NLP - Part Five - Training the Model.srt

14 kB

10. Natural Language Processing/7. NLP - Part Six - Generating Text.mp4

52 MB

10. Natural Language Processing/7. NLP - Part Six - Generating Text.srt

12 kB

11. AutoEncoders/1. Introduction to Autoencoders.mp4

21 MB

11. AutoEncoders/2. Autoencoder Basics.mp4

43 MB

11. AutoEncoders/2. Autoencoder Basics.srt

11 kB

11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.mp4

118 MB

11. AutoEncoders/3. Autoencoder for Dimensionality Reduction.srt

28 kB

11. AutoEncoders/4. Autoencoder for Images - Part One.mp4

94 MB

11. AutoEncoders/4. Autoencoder for Images - Part One.srt

24 kB

11. AutoEncoders/5. Autoencoder for Images - Part Two - Noise Removal.mp4

60 MB

11. AutoEncoders/5. Autoencoder for Images - Part Two - Noise Removal.srt

11 kB

11. AutoEncoders/6. Autoencoder Exercise Overview.mp4

34 MB

11. AutoEncoders/6. Autoencoder Exercise Overview.srt

5.2 kB

11. AutoEncoders/7. Autoencoder Exercise - Solutions.mp4

78 MB

11. AutoEncoders/7. Autoencoder Exercise - Solutions.srt

14 kB

12. Generative Adversarial Networks/1. GANs Overview.mp4

54 MB

12. Generative Adversarial Networks/1. GANs Overview.srt

12 kB

12. Generative Adversarial Networks/2. Creating a GAN - Part One- The Data.mp4

19 MB

12. Generative Adversarial Networks/2. Creating a GAN - Part One- The Data.srt

6.5 kB

12. Generative Adversarial Networks/3. Creating a GAN - Part Two - The Model.mp4

70 MB

12. Generative Adversarial Networks/3. Creating a GAN - Part Two - The Model.srt

17 kB

12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.mp4

132 MB

12. Generative Adversarial Networks/4. Creating a GAN - Part Three - Model Training.srt

34 kB

12. Generative Adversarial Networks/5. DCGAN - Deep Convolutional Generative Adversarial Networks.mp4

57 MB

12. Generative Adversarial Networks/5. DCGAN - Deep Convolutional Generative Adversarial Networks.srt

9.6 kB

13. Deployment/1. Introduction to Deployment.mp4

23 MB

13. Deployment/1. Introduction to Deployment.srt

5.4 kB

13. Deployment/2. Creating the Model.mp4

87 MB

13. Deployment/2. Creating the Model.srt

22 kB

13. Deployment/3. Model Prediction Function.mp4

53 MB

13. Deployment/3. Model Prediction Function.srt

12 kB

13. Deployment/4. Running a Basic Flask Application.mp4

62 MB

13. Deployment/4. Running a Basic Flask Application.srt

15 kB

13. Deployment/5. Flask Postman API.mp4

69 MB

13. Deployment/5. Flask Postman API.srt

15 kB

13. Deployment/6. Flask API - Using Requests Programmatically.mp4

20 MB

13. Deployment/6. Flask API - Using Requests Programmatically.srt

5.7 kB

13. Deployment/7. Flask Front End.mp4

150 MB

13. Deployment/7. Flask Front End.srt

26 kB

13. Deployment/8. Live Deployment to the Web.mp4

126 MB

13. Deployment/8. Live Deployment to the Web.srt

24 kB

2. COURSE OVERVIEW CONFIRMATION/1. PLEASE WATCH COURSE OVERVIEW LECTURE.html

165 B

3. NumPy Crash Course/1. Introduction to NumPy.mp4

11 MB

3. NumPy Crash Course/1. Introduction to NumPy.srt

3.5 kB

3. NumPy Crash Course/2. NumPy Arrays.mp4

89 MB

3. NumPy Crash Course/2. NumPy Arrays.srt

27 kB

3. NumPy Crash Course/3. Numpy Index Selection.mp4

46 MB

3. NumPy Crash Course/3. Numpy Index Selection.srt

15 kB

3. NumPy Crash Course/4. NumPy Operations.mp4

49 MB

3. NumPy Crash Course/4. NumPy Operations.srt

12 kB

3. NumPy Crash Course/5. NumPy Exercises.mp4

12 MB

3. NumPy Crash Course/5. NumPy Exercises.srt

2.1 kB

3. NumPy Crash Course/6. Numpy Exercises - Solutions.mp4

49 MB

3. NumPy Crash Course/6. Numpy Exercises - Solutions.srt

11 kB

4. Pandas Crash Course/1. Introduction to Pandas.mp4

26 MB

4. Pandas Crash Course/1. Introduction to Pandas.srt

6.1 kB

4. Pandas Crash Course/10. Pandas Exercises - Solutions.mp4

52 MB

4. Pandas Crash Course/10. Pandas Exercises - Solutions.srt

10 kB

4. Pandas Crash Course/2. Pandas Series.mp4

38 MB

4. Pandas Crash Course/2. Pandas Series.srt

12 kB

4. Pandas Crash Course/3. Pandas DataFrames - Part One.mp4

45 MB

4. Pandas Crash Course/3. Pandas DataFrames - Part One.srt

17 kB

4. Pandas Crash Course/4. Pandas DataFrames - Part Two.mp4

37 MB

4. Pandas Crash Course/4. Pandas DataFrames - Part Two.srt

14 kB

4. Pandas Crash Course/5. Pandas Missing Data.mp4

44 MB

4. Pandas Crash Course/5. Pandas Missing Data.srt

15 kB

4. Pandas Crash Course/6. GroupBy Operations.mp4

56 MB

4. Pandas Crash Course/6. GroupBy Operations.srt

14 kB

4. Pandas Crash Course/7. Pandas Operations.mp4

61 MB

4. Pandas Crash Course/7. Pandas Operations.srt

19 kB

4. Pandas Crash Course/8. Data Input and Output.mp4

94 MB

4. Pandas Crash Course/8. Data Input and Output.srt

17 kB

4. Pandas Crash Course/9. Pandas Exercises.mp4

24 MB

4. Pandas Crash Course/9. Pandas Exercises.srt

4.3 kB

5. Visualization Crash Course/1. Introduction to Python Visualization.mp4

6.8 MB

5. Visualization Crash Course/1. Introduction to Python Visualization.srt

2.0 kB

5. Visualization Crash Course/2. Matplotlib Basics.mp4

41 MB

5. Visualization Crash Course/2. Matplotlib Basics.srt

13 kB

5. Visualization Crash Course/3. Seaborn Basics.mp4

92 MB

5. Visualization Crash Course/3. Seaborn Basics.srt

24 kB

5. Visualization Crash Course/4. Data Visualization Exercises.mp4

23 MB

5. Visualization Crash Course/4. Data Visualization Exercises.srt

5.1 kB

5. Visualization Crash Course/5. Data Visualization Exercises - Solutions.mp4

50 MB

5. Visualization Crash Course/5. Data Visualization Exercises - Solutions.srt

11 kB

6. Machine Learning Concepts Overview/1. What is Machine Learning.mp4

28 MB

6. Machine Learning Concepts Overview/1. What is Machine Learning.srt

8.1 kB

6. Machine Learning Concepts Overview/2. Supervised Learning Overview.mp4

40 MB

6. Machine Learning Concepts Overview/2. Supervised Learning Overview.srt

12 kB

6. Machine Learning Concepts Overview/3. Overfitting.mp4

26 MB

6. Machine Learning Concepts Overview/3. Overfitting.srt

12 kB

6. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.mp4

83 MB

6. Machine Learning Concepts Overview/4. Evaluating Performance - Classification Error Metrics.srt

25 kB

6. Machine Learning Concepts Overview/5. Evaluating Performance - Regression Error Metrics.mp4

24 MB

6. Machine Learning Concepts Overview/5. Evaluating Performance - Regression Error Metrics.srt

8.4 kB

6. Machine Learning Concepts Overview/6. Unsupervised Learning.mp4

19 MB

6. Machine Learning Concepts Overview/6. Unsupervised Learning.srt

7.0 kB

7. Basic Artificial Neural Networks - ANNs/1. Introduction to ANN Section.mp4

9.7 MB

7. Basic Artificial Neural Networks - ANNs/1. Introduction to ANN Section.srt

3.3 kB

7. Basic Artificial Neural Networks - ANNs/10. Keras Syntax Basics - Part Two - Creating and Training the Model.mp4

85 MB

7. Basic Artificial Neural Networks - ANNs/10. Keras Syntax Basics - Part Two - Creating and Training the Model.srt

20 kB

7. Basic Artificial Neural Networks - ANNs/11. Keras Syntax Basics - Part Three - Model Evaluation.mp4

65 MB

7. Basic Artificial Neural Networks - ANNs/11. Keras Syntax Basics - Part Three - Model Evaluation.srt

17 kB

7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.mp4

137 MB

7. Basic Artificial Neural Networks - ANNs/12. Keras Regression Code Along - Exploratory Data Analysis.srt

26 kB

7. Basic Artificial Neural Networks - ANNs/13. Keras Regression Code Along - Exploratory Data Analysis - Continued.mp4

76 MB

7. Basic Artificial Neural Networks - ANNs/13. Keras Regression Code Along - Exploratory Data Analysis - Continued.srt

18 kB

7. Basic Artificial Neural Networks - ANNs/14. Keras Regression Code Along - Data Preprocessing and Creating a Model.mp4

47 MB

7. Basic Artificial Neural Networks - ANNs/14. Keras Regression Code Along - Data Preprocessing and Creating a Model.srt

12 kB

7. Basic Artificial Neural Networks - ANNs/15. Keras Regression Code Along - Model Evaluation and Predictions.mp4

69 MB

7. Basic Artificial Neural Networks - ANNs/15. Keras Regression Code Along - Model Evaluation and Predictions.srt

16 kB

7. Basic Artificial Neural Networks - ANNs/16. Keras Classification Code Along - EDA and Preprocessing.mp4

56 MB

7. Basic Artificial Neural Networks - ANNs/16. Keras Classification Code Along - EDA and Preprocessing.srt

11 kB

7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.mp4

111 MB

7. Basic Artificial Neural Networks - ANNs/17. Keras Classification - Dealing with Overfitting and Evaluation.srt

24 kB

7. Basic Artificial Neural Networks - ANNs/18. TensorFlow 2.0 Keras Project Options Overview.mp4

7.9 MB

7. Basic Artificial Neural Networks - ANNs/18. TensorFlow 2.0 Keras Project Options Overview.srt

2.5 kB

7. Basic Artificial Neural Networks - ANNs/19. TensorFlow 2.0 Keras Project Notebook Overview.mp4

81 MB

7. Basic Artificial Neural Networks - ANNs/19. TensorFlow 2.0 Keras Project Notebook Overview.srt

12 kB

7. Basic Artificial Neural Networks - ANNs/2. Perceptron Model.mp4

48 MB

7. Basic Artificial Neural Networks - ANNs/2. Perceptron Model.srt

15 kB

7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.mp4

144 MB

7. Basic Artificial Neural Networks - ANNs/20. Keras Project Solutions - Exploratory Data Analysis.srt

28 kB

7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.mp4

97 MB

7. Basic Artificial Neural Networks - ANNs/21. Keras Project Solutions - Dealing with Missing Data.srt

20 kB

7. Basic Artificial Neural Networks - ANNs/22. Keras Project Solutions - Dealing with Missing Data - Part Two.mp4

85 MB

7. Basic Artificial Neural Networks - ANNs/22. Keras Project Solutions - Dealing with Missing Data - Part Two.srt

17 kB

7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.mp4

125 MB

7. Basic Artificial Neural Networks - ANNs/23. Keras Project Solutions - Categorical Data.srt

25 kB

7. Basic Artificial Neural Networks - ANNs/24. Keras Project Solutions - Data PreProcessing.mp4

24 MB

7. Basic Artificial Neural Networks - ANNs/24. Keras Project Solutions - Data PreProcessing.srt

5.0 kB

7. Basic Artificial Neural Networks - ANNs/25. Keras Project Solutions - Creating and Training a Model.mp4

30 MB

7. Basic Artificial Neural Networks - ANNs/25. Keras Project Solutions - Creating and Training a Model.srt

5.9 kB

7. Basic Artificial Neural Networks - ANNs/26. Keras Project Solutions - Model Evaluation.mp4

63 MB

7. Basic Artificial Neural Networks - ANNs/26. Keras Project Solutions - Model Evaluation.srt

13 kB

7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.mp4

144 MB

7. Basic Artificial Neural Networks - ANNs/27. Tensorboard.srt

29 kB

7. Basic Artificial Neural Networks - ANNs/3. Neural Networks.mp4

36 MB

7. Basic Artificial Neural Networks - ANNs/3. Neural Networks.srt

11 kB

7. Basic Artificial Neural Networks - ANNs/4. Activation Functions.mp4

62 MB

7. Basic Artificial Neural Networks - ANNs/4. Activation Functions.srt

16 kB

7. Basic Artificial Neural Networks - ANNs/5. Multi-Class Classification Considerations.mp4

46 MB

7. Basic Artificial Neural Networks - ANNs/5. Multi-Class Classification Considerations.srt

16 kB

7. Basic Artificial Neural Networks - ANNs/6. Cost Functions and Gradient Descent.mp4

76 MB

7. Basic Artificial Neural Networks - ANNs/6. Cost Functions and Gradient Descent.srt

27 kB

7. Basic Artificial Neural Networks - ANNs/7. Backpropagation.mp4

58 MB

7. Basic Artificial Neural Networks - ANNs/7. Backpropagation.srt

20 kB

7. Basic Artificial Neural Networks - ANNs/7.1 Great walkthrough for BackPropagation!.html

112 B

7. Basic Artificial Neural Networks - ANNs/8. TensorFlow vs. Keras Explained.mp4

10 MB

7. Basic Artificial Neural Networks - ANNs/8. TensorFlow vs. Keras Explained.srt

2.9 kB

7. Basic Artificial Neural Networks - ANNs/9. Keras Syntax Basics - Part One - Preparing the Data.mp4

50 MB

7. Basic Artificial Neural Networks - ANNs/9. Keras Syntax Basics - Part One - Preparing the Data.srt

15 kB

8. Convolutional Neural Networks - CNNs/1. CNN Section Overview.mp4

7.5 MB

8. Convolutional Neural Networks - CNNs/1. CNN Section Overview.srt

2.5 kB

8. Convolutional Neural Networks - CNNs/10. CNN on CIFAR-10 - Part Two - Evaluating the Model.mp4

45 MB

8. Convolutional Neural Networks - CNNs/10. CNN on CIFAR-10 - Part Two - Evaluating the Model.srt

10 kB

8. Convolutional Neural Networks - CNNs/11. Downloading Data Set for Real Image Lectures.mp4

28 MB

8. Convolutional Neural Networks - CNNs/11. Downloading Data Set for Real Image Lectures.srt

8.6 kB

8. Convolutional Neural Networks - CNNs/11.1 Direct Link to Download cell_images.zip (Note You can't preview a zip file) Just download it..html

127 B

8. Convolutional Neural Networks - CNNs/12. CNN on Real Image Files - Part One - Reading in the Data.mp4

81 MB

8. Convolutional Neural Networks - CNNs/12. CNN on Real Image Files - Part One - Reading in the Data.srt

20 kB

8. Convolutional Neural Networks - CNNs/13. CNN on Real Image Files - Part Two - Data Processing.mp4

88 MB

8. Convolutional Neural Networks - CNNs/13. CNN on Real Image Files - Part Two - Data Processing.srt

23 kB

8. Convolutional Neural Networks - CNNs/14. CNN on Real Image Files - Part Three - Creating the Model.mp4

91 MB

8. Convolutional Neural Networks - CNNs/14. CNN on Real Image Files - Part Three - Creating the Model.srt

20 kB

8. Convolutional Neural Networks - CNNs/15. CNN on Real Image Files - Part Four - Evaluating the Model.mp4

47 MB

8. Convolutional Neural Networks - CNNs/15. CNN on Real Image Files - Part Four - Evaluating the Model.srt

12 kB

8. Convolutional Neural Networks - CNNs/16. CNN Exercise Overview.mp4

18 MB

8. Convolutional Neural Networks - CNNs/16. CNN Exercise Overview.srt

3.8 kB

8. Convolutional Neural Networks - CNNs/17. CNN Exercise Solutions.mp4

56 MB

8. Convolutional Neural Networks - CNNs/17. CNN Exercise Solutions.srt

12 kB

8. Convolutional Neural Networks - CNNs/2. Image Filters and Kernels.mp4

72 MB

8. Convolutional Neural Networks - CNNs/2. Image Filters and Kernels.srt

18 kB

8. Convolutional Neural Networks - CNNs/3. Convolutional Layers.mp4

58 MB

8. Convolutional Neural Networks - CNNs/3. Convolutional Layers.srt

21 kB

8. Convolutional Neural Networks - CNNs/4. Pooling Layers.mp4

28 MB

8. Convolutional Neural Networks - CNNs/4. Pooling Layers.srt

9.9 kB

8. Convolutional Neural Networks - CNNs/5. MNIST Data Set Overview.mp4

21 MB

8. Convolutional Neural Networks - CNNs/5. MNIST Data Set Overview.srt

6.9 kB

8. Convolutional Neural Networks - CNNs/6. CNN on MNIST - Part One - The Data.mp4

60 MB

8. Convolutional Neural Networks - CNNs/6. CNN on MNIST - Part One - The Data.srt

18 kB

8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.mp4

99 MB

8. Convolutional Neural Networks - CNNs/7. CNN on MNIST - Part Two - Creating and Training the Model.srt

23 kB

8. Convolutional Neural Networks - CNNs/8. CNN on MNIST - Part Three - Model Evaluation.mp4

38 MB

8. Convolutional Neural Networks - CNNs/8. CNN on MNIST - Part Three - Model Evaluation.srt

9.5 kB

8. Convolutional Neural Networks - CNNs/9. CNN on CIFAR-10 - Part One - The Data.mp4

64 MB

8. Convolutional Neural Networks - CNNs/9. CNN on CIFAR-10 - Part One - The Data.srt

16 kB

9. Recurrent Neural Networks - RNNs/1. RNN Section Overview.mp4

11 MB

9. Recurrent Neural Networks - RNNs/1. RNN Section Overview.srt

4.0 kB

9. Recurrent Neural Networks - RNNs/10. RNN on a Time Series - Part One.mp4

45 MB

9. Recurrent Neural Networks - RNNs/10. RNN on a Time Series - Part One.srt

14 kB

9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.mp4

131 MB

9. Recurrent Neural Networks - RNNs/11. RNN on a Time Series - Part Two.srt

31 kB

9. Recurrent Neural Networks - RNNs/12. RNN Exercise.mp4

30 MB

9. Recurrent Neural Networks - RNNs/12. RNN Exercise.srt

6.7 kB

9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.mp4

148 MB

9. Recurrent Neural Networks - RNNs/13. RNN Exercise - Solutions.srt

32 kB

9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.mp4

149 MB

9. Recurrent Neural Networks - RNNs/14. Bonus - Multivariate Time Series - RNN and LSTMs.srt

26 kB

9. Recurrent Neural Networks - RNNs/2. RNN Basic Theory.mp4

30 MB

9. Recurrent Neural Networks - RNNs/3. Vanishing Gradients.mp4

28 MB

9. Recurrent Neural Networks - RNNs/3. Vanishing Gradients.srt

11 kB

9. Recurrent Neural Networks - RNNs/4. LSTMS and GRU.mp4

42 MB

9. Recurrent Neural Networks - RNNs/4. LSTMS and GRU.srt

17 kB

9. Recurrent Neural Networks - RNNs/4.1 Great Blog Post on Exploring LSTM Neurons.html

109 B

9. Recurrent Neural Networks - RNNs/4.2 Famous Karpathy Blog Post.html

116 B

9. Recurrent Neural Networks - RNNs/4.3 Wikipedia Article Describing LSTM Variants.html

113 B

9. Recurrent Neural Networks - RNNs/4.4 How to choose between LSTM vs GRU.html

140 B

9. Recurrent Neural Networks - RNNs/5. RNN Batches.mp4

33 MB

9. Recurrent Neural Networks - RNNs/5. RNN Batches.srt

12 kB

9. Recurrent Neural Networks - RNNs/6. RNN on a Sine Wave - The Data.mp4

40 MB

9. Recurrent Neural Networks - RNNs/6. RNN on a Sine Wave - The Data.srt

12 kB

9. Recurrent Neural Networks - RNNs/7. RNN on a Sine Wave - Batch Generator.mp4

50 MB

9. Recurrent Neural Networks - RNNs/7. RNN on a Sine Wave - Batch Generator.srt

11 kB

9. Recurrent Neural Networks - RNNs/8. RNN on a Sine Wave - Creating the Model.mp4

84 MB

9. Recurrent Neural Networks - RNNs/8. RNN on a Sine Wave - Creating the Model.srt

21 kB

9. Recurrent Neural Networks - RNNs/9. RNN on a Sine Wave - LSTMs and Forecasting.mp4

84 MB

9. Recurrent Neural Networks - RNNs/9. RNN on a Sine Wave - LSTMs and Forecasting.srt

18 kB

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