[DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

File Name

Size

0. Websites you may like/[CourseClub.Me].url

48 B

0. Websites you may like/[DesireCourse.Net].url

51 B

1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4.!qB

146 MB

1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..srt

26 kB

1. Introduction/2. Course Curriculum & Colab Toolkit.html

464 B

1. Introduction/3. BONUS 10 advantages of TensorFlow.html

613 B

1. Introduction/4. BONUS Learning Path.html

1.8 kB

1. Introduction/[CourseClub.Me].url

48 B

1. Introduction/[DesireCourse.Net].url

51 B

10. Dataset Preprocessing with TensorFlow Transform (TFT)/1. Project Setup.mp4

10 MB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/1. Project Setup.srt

2.8 kB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/1.1 Google Colab TFT.html

134 B

10. Dataset Preprocessing with TensorFlow Transform (TFT)/1.2 pollution_small.csv

73 kB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/2. Initial dataset preprocessing.mp4

35 MB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/2. Initial dataset preprocessing.srt

8.4 kB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/3. Dataset metadata.mp4

21 MB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/3. Dataset metadata.srt

4.8 kB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/4. Preprocessing function.mp4

21 MB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/4. Preprocessing function.srt

6.0 kB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/5. Dataset preprocessing pipeline.mp4.!qB

74 MB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/5. Dataset preprocessing pipeline.srt

11 kB

10. Dataset Preprocessing with TensorFlow Transform (TFT)/6. What's next.html

2.1 kB

11. Fashion API with Flask and TensorFlow 2.0/1. Project Setup.mp4.!qB

37 MB

11. Fashion API with Flask and TensorFlow 2.0/1. Project Setup.srt

7.7 kB

11. Fashion API with Flask and TensorFlow 2.0/1.1 Flask API.zip

372 kB

11. Fashion API with Flask and TensorFlow 2.0/2. Importing project dependencies.mp4.!qB

12 MB

11. Fashion API with Flask and TensorFlow 2.0/2. Importing project dependencies.srt

2.5 kB

11. Fashion API with Flask and TensorFlow 2.0/3. Loading a pre-trained model.mp4.!qB

20 MB

11. Fashion API with Flask and TensorFlow 2.0/3. Loading a pre-trained model.srt

3.9 kB

11. Fashion API with Flask and TensorFlow 2.0/4. Defining the Flask application.mp4.!qB

12 MB

11. Fashion API with Flask and TensorFlow 2.0/4. Defining the Flask application.srt

1.8 kB

11. Fashion API with Flask and TensorFlow 2.0/5. Creating classify function.mp4.!qB

53 MB

11. Fashion API with Flask and TensorFlow 2.0/5. Creating classify function.srt

5.6 kB

11. Fashion API with Flask and TensorFlow 2.0/6. Starting the Flask application.mp4.!qB

28 MB

11. Fashion API with Flask and TensorFlow 2.0/6. Starting the Flask application.srt

2.7 kB

11. Fashion API with Flask and TensorFlow 2.0/7. Sending API requests over internet to the model.mp4.!qB

35 MB

11. Fashion API with Flask and TensorFlow 2.0/7. Sending API requests over internet to the model.srt

4.5 kB

12. Image Classification API with TensorFlow Serving/1. What is the TensorFlow Serving.mp4.!qB

24 MB

12. Image Classification API with TensorFlow Serving/1. What is the TensorFlow Serving.srt

7.6 kB

12. Image Classification API with TensorFlow Serving/10. Sending the POST request to a specific model.mp4.!qB

9.6 MB

12. Image Classification API with TensorFlow Serving/10. Sending the POST request to a specific model.srt

2.4 kB

12. Image Classification API with TensorFlow Serving/2. TensorFlow Serving architecture.mp4.!qB

20 MB

12. Image Classification API with TensorFlow Serving/2. TensorFlow Serving architecture.srt

4.5 kB

12. Image Classification API with TensorFlow Serving/3. Project setup.mp4.!qB

26 MB

12. Image Classification API with TensorFlow Serving/3. Project setup.srt

4.6 kB

12. Image Classification API with TensorFlow Serving/3.1 Google Colab TensorFlow Serving.html

134 B

12. Image Classification API with TensorFlow Serving/4. Dataset preprocessing.mp4.!qB

24 MB

12. Image Classification API with TensorFlow Serving/4. Dataset preprocessing.srt

5.1 kB

12. Image Classification API with TensorFlow Serving/5. Defining, training and evaluating a model.mp4.!qB

23 MB

12. Image Classification API with TensorFlow Serving/5. Defining, training and evaluating a model.srt

3.4 kB

12. Image Classification API with TensorFlow Serving/6. Saving the model for production.mp4.!qB

25 MB

12. Image Classification API with TensorFlow Serving/6. Saving the model for production.srt

5.3 kB

12. Image Classification API with TensorFlow Serving/7. Serving the TensorFlow 2.0 Model.mp4.!qB

28 MB

12. Image Classification API with TensorFlow Serving/7. Serving the TensorFlow 2.0 Model.srt

4.9 kB

12. Image Classification API with TensorFlow Serving/8. Creating a JSON object.mp4.!qB

24 MB

12. Image Classification API with TensorFlow Serving/8. Creating a JSON object.srt

3.5 kB

12. Image Classification API with TensorFlow Serving/9. Sending the first POST request to the model.mp4.!qB

27 MB

12. Image Classification API with TensorFlow Serving/9. Sending the first POST request to the model.srt

7.1 kB

13. TensorFlow Lite Prepare a model for a mobile device/1. What is the TensorFlow Lite.mp4.!qB

14 MB

13. TensorFlow Lite Prepare a model for a mobile device/1. What is the TensorFlow Lite.srt

5.2 kB

13. TensorFlow Lite Prepare a model for a mobile device/10. What's next.html

2.2 kB

13. TensorFlow Lite Prepare a model for a mobile device/2. Project setup.mp4.!qB

8.1 MB

13. TensorFlow Lite Prepare a model for a mobile device/2. Project setup.srt

2.6 kB

13. TensorFlow Lite Prepare a model for a mobile device/2.1 Google Colab TensorFlow Lite.html

134 B

13. TensorFlow Lite Prepare a model for a mobile device/3. Dataset preprocessing.mp4.!qB

29 MB

13. TensorFlow Lite Prepare a model for a mobile device/3. Dataset preprocessing.srt

4.2 kB

13. TensorFlow Lite Prepare a model for a mobile device/4. Building a model.mp4

15 MB

13. TensorFlow Lite Prepare a model for a mobile device/4. Building a model.srt

3.2 kB

13. TensorFlow Lite Prepare a model for a mobile device/5. Training, evaluating the model.mp4.!qB

15 MB

13. TensorFlow Lite Prepare a model for a mobile device/5. Training, evaluating the model.srt

2.5 kB

13. TensorFlow Lite Prepare a model for a mobile device/6. Saving the model.mp4.!qB

9.4 MB

13. TensorFlow Lite Prepare a model for a mobile device/6. Saving the model.srt

2.1 kB

13. TensorFlow Lite Prepare a model for a mobile device/7. TensorFlow Lite Converter.mp4.!qB

6.3 MB

13. TensorFlow Lite Prepare a model for a mobile device/7. TensorFlow Lite Converter.srt

1.8 kB

13. TensorFlow Lite Prepare a model for a mobile device/8. Converting the model to a TensorFlow Lite model.mp4.!qB

4.9 MB

13. TensorFlow Lite Prepare a model for a mobile device/8. Converting the model to a TensorFlow Lite model.srt

1.4 kB

13. TensorFlow Lite Prepare a model for a mobile device/9. Saving the converted model.mp4.!qB

8.7 MB

13. TensorFlow Lite Prepare a model for a mobile device/9. Saving the converted model.srt

1.9 kB

14. Distributed Training with TensorFlow 2.0/1. What is the Distributed Training.mp4.!qB

11 MB

14. Distributed Training with TensorFlow 2.0/1. What is the Distributed Training.srt

4.3 kB

14. Distributed Training with TensorFlow 2.0/2. Project Setup.mp4.!qB

9.1 MB

14. Distributed Training with TensorFlow 2.0/2. Project Setup.srt

2.0 kB

14. Distributed Training with TensorFlow 2.0/2.1 Google Colab Distributed Training.html

134 B

14. Distributed Training with TensorFlow 2.0/3. Dataset preprocessing.mp4.!qB

26 MB

14. Distributed Training with TensorFlow 2.0/3. Dataset preprocessing.srt

5.5 kB

14. Distributed Training with TensorFlow 2.0/4. Defining a non-distributed model (normal CNN model).mp4.!qB

14 MB

14. Distributed Training with TensorFlow 2.0/4. Defining a non-distributed model (normal CNN model).srt

3.7 kB

14. Distributed Training with TensorFlow 2.0/5. Setting up a distributed strategy.mp4.!qB

7.4 MB

14. Distributed Training with TensorFlow 2.0/5. Setting up a distributed strategy.srt

2.3 kB

14. Distributed Training with TensorFlow 2.0/6. Defining a distributed model.mp4.!qB

12 MB

14. Distributed Training with TensorFlow 2.0/6. Defining a distributed model.srt

2.4 kB

14. Distributed Training with TensorFlow 2.0/7. Final evaluation - Speed test normal model vs distributed model.mp4.!qB

28 MB

14. Distributed Training with TensorFlow 2.0/7. Final evaluation - Speed test normal model vs distributed model.srt

4.4 kB

14. Distributed Training with TensorFlow 2.0/[CourseClub.Me].url

48 B

14. Distributed Training with TensorFlow 2.0/[DesireCourse.Net].url

51 B

15. Annex 1 - Artificial Neural Networks Theory/1. Plan of Attack.mp4.!qB

12 MB

15. Annex 1 - Artificial Neural Networks Theory/1. Plan of Attack.srt

4.0 kB

15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4.!qB

99 MB

15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.srt

25 kB

15. Annex 1 - Artificial Neural Networks Theory/3. The Activation Function.mp4.!qB

45 MB

15. Annex 1 - Artificial Neural Networks Theory/3. The Activation Function.srt

12 kB

15. Annex 1 - Artificial Neural Networks Theory/4. How do Neural Networks Work.mp4.!qB

82 MB

15. Annex 1 - Artificial Neural Networks Theory/4. How do Neural Networks Work.srt

19 kB

15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4.!qB

112 MB

15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.srt

19 kB

15. Annex 1 - Artificial Neural Networks Theory/6. Gradient Descent.mp4.!qB

61 MB

15. Annex 1 - Artificial Neural Networks Theory/6. Gradient Descent.srt

14 kB

15. Annex 1 - Artificial Neural Networks Theory/7. Stochastic Gradient Descent.mp4.!qB

67 MB

15. Annex 1 - Artificial Neural Networks Theory/7. Stochastic Gradient Descent.srt

12 kB

15. Annex 1 - Artificial Neural Networks Theory/8. Backpropagation.mp4.!qB

43 MB

15. Annex 1 - Artificial Neural Networks Theory/8. Backpropagation.srt

7.3 kB

16. Annex 2 - Convolutional Neural Networks Theory/1. Plan of Attack.mp4.!qB

16 MB

16. Annex 2 - Convolutional Neural Networks Theory/1. Plan of Attack.srt

5.4 kB

16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4.!qB

108 MB

16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.srt

22 kB

16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4.!qB

98 MB

16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.srt

23 kB

16. Annex 2 - Convolutional Neural Networks Theory/4. Step 1 Bis - ReLU Layer.mp4.!qB

53 MB

16. Annex 2 - Convolutional Neural Networks Theory/4. Step 1 Bis - ReLU Layer.srt

9.7 kB

16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4.!qB

137 MB

16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.srt.!qB

21 kB

16. Annex 2 - Convolutional Neural Networks Theory/6. Step 3 - Flattening.mp4.!qB

7.9 MB

16. Annex 2 - Convolutional Neural Networks Theory/6. Step 3 - Flattening.srt

2.7 kB

16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4.!qB

194 MB

16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.srt

29 kB

16. Annex 2 - Convolutional Neural Networks Theory/8. Summary.mp4.!qB

30 MB

16. Annex 2 - Convolutional Neural Networks Theory/8. Summary.srt

6.0 kB

16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4.!qB

118 MB

16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.srt

26 kB

17. Annex 3 - Recurrent Neural Networks Theory/1. Plan of Attack.mp4.!qB

10 MB

17. Annex 3 - Recurrent Neural Networks Theory/1. Plan of Attack.srt

3.5 kB

17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4.!qB

121 MB

17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.srt

24 kB

17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4.!qB

111 MB

17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.srt

20 kB

17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4.!qB

136 MB

17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.srt

28 kB

17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4.!qB

187 MB

17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.srt

21 kB

17. Annex 3 - Recurrent Neural Networks Theory/6. LSTM Variations.mp4.!qB

20 MB

17. Annex 3 - Recurrent Neural Networks Theory/6. LSTM Variations.srt

4.6 kB

18. Bonus Lectures/1. SPECIAL COVID-19 BONUS.html

722 B

18. Bonus Lectures/2. YOUR SPECIAL BONUS.html

1.1 kB

18. Bonus Lectures/3. FREE LEARNING RESOURCES FOR YOU.html

2.3 kB

2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4.!qB

115 MB

2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.srt

16 kB

2. TensorFlow 2.0 Basics/1.1 Google Colab TensorFlow 1.x to TensorFlow 2.0.html

134 B

2. TensorFlow 2.0 Basics/2. Constants, Variables, Tensors.mp4.!qB

71 MB

2. TensorFlow 2.0 Basics/2. Constants, Variables, Tensors.srt

13 kB

2. TensorFlow 2.0 Basics/3. Operations with Tensors.mp4.!qB

49 MB

2. TensorFlow 2.0 Basics/3. Operations with Tensors.srt

8.4 kB

2. TensorFlow 2.0 Basics/4. Strings.mp4.!qB

40 MB

2. TensorFlow 2.0 Basics/4. Strings.srt

8.8 kB

3. Artificial Neural Networks/1. Project Setup.mp4.!qB

59 MB

3. Artificial Neural Networks/1. Project Setup.srt

8.7 kB

3. Artificial Neural Networks/1.1 Google Colab ANN.html

134 B

3. Artificial Neural Networks/2. Data Preprocessing.mp4.!qB

62 MB

3. Artificial Neural Networks/2. Data Preprocessing.srt

11 kB

3. Artificial Neural Networks/3. Building the Artificial Neural Network.mp4.!qB

60 MB

3. Artificial Neural Networks/3. Building the Artificial Neural Network.srt

15 kB

3. Artificial Neural Networks/4. Training the Artificial Neural Network.mp4.!qB

48 MB

3. Artificial Neural Networks/4. Training the Artificial Neural Network.srt

10 kB

3. Artificial Neural Networks/5. Evaluating the Artificial Neural Network.mp4.!qB

31 MB

3. Artificial Neural Networks/5. Evaluating the Artificial Neural Network.srt

6.8 kB

3. Artificial Neural Networks/6. Artificial Neural Network Quiz.html

123 B

3. Artificial Neural Networks/7. HOMEWORK Artificial Neural Networks.html

493 B

3. Artificial Neural Networks/8. HOMEWORK SOLUTION Artificial Neural Networks.html

421 B

4. Convolutional Neural Networks/1. Project Setup & Data Preprocessing.mp4.!qB

47 MB

4. Convolutional Neural Networks/1. Project Setup & Data Preprocessing.srt

11 kB

4. Convolutional Neural Networks/1.1 Google Colab CNN.html

134 B

4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4.!qB

88 MB

4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.srt

20 kB

4. Convolutional Neural Networks/3. Training and Evaluating the Convolutional Neural Network.mp4.!qB

58 MB

4. Convolutional Neural Networks/3. Training and Evaluating the Convolutional Neural Network.srt

11 kB

4. Convolutional Neural Networks/4. Convolutional Neural Networks Quiz.html

123 B

4. Convolutional Neural Networks/5. HOMEWORK Convolutional Neural Networks.html

500 B

4. Convolutional Neural Networks/6. HOMEWORK SOLUTION Convolutional Neural Networks.html

573 B

5. Recurrent Neural Networks/1. Project Setup & Data Preprocessing.mp4.!qB

46 MB

5. Recurrent Neural Networks/1. Project Setup & Data Preprocessing.srt

10 kB

5. Recurrent Neural Networks/1.1 Google Colab RNN.html

134 B

5. Recurrent Neural Networks/2. Building the Recurrent Neural Network.mp4.!qB

40 MB

5. Recurrent Neural Networks/2. Building the Recurrent Neural Network.srt

9.2 kB

5. Recurrent Neural Networks/3. Training and Evaluating the Recurrent Neural Network.mp4.!qB

49 MB

5. Recurrent Neural Networks/3. Training and Evaluating the Recurrent Neural Network.srt

10 kB

5. Recurrent Neural Networks/4. Recurrent Neural Network Quiz.html

123 B

6. Transfer Learning and Fine Tuning/1. What is Transfer Learning.mp4.!qB

46 MB

6. Transfer Learning and Fine Tuning/1. What is Transfer Learning.srt

6.1 kB

6. Transfer Learning and Fine Tuning/10. Transfer Learning.mp4.!qB

17 MB

6. Transfer Learning and Fine Tuning/10. Transfer Learning.srt

3.1 kB

6. Transfer Learning and Fine Tuning/11. Evaluating Transfer Learning results.mp4.!qB

9.4 MB

6. Transfer Learning and Fine Tuning/11. Evaluating Transfer Learning results.srt

1.6 kB

6. Transfer Learning and Fine Tuning/12. Fine Tuning model definition.mp4.!qB

25 MB

6. Transfer Learning and Fine Tuning/12. Fine Tuning model definition.srt

4.6 kB

6. Transfer Learning and Fine Tuning/13. Compiling the Fine Tuning model.mp4.!qB

6.4 MB

6. Transfer Learning and Fine Tuning/13. Compiling the Fine Tuning model.srt

1.5 kB

6. Transfer Learning and Fine Tuning/14. Fine Tuning.mp4.!qB

10 MB

6. Transfer Learning and Fine Tuning/14. Fine Tuning.srt

2.6 kB

6. Transfer Learning and Fine Tuning/15. Evaluating Fine Tuning results.mp4.!qB

9.0 MB

6. Transfer Learning and Fine Tuning/15. Evaluating Fine Tuning results.srt

1.9 kB

6. Transfer Learning and Fine Tuning/16. Transfer Learning quiz.html

123 B

6. Transfer Learning and Fine Tuning/2. Project Setup.mp4.!qB

49 MB

6. Transfer Learning and Fine Tuning/2. Project Setup.srt

4.5 kB

6. Transfer Learning and Fine Tuning/2.1 Google Colab Transfer Learning and Fine Tuning.html

134 B

6. Transfer Learning and Fine Tuning/3. Dataset preprocessing.mp4.!qB

32 MB

6. Transfer Learning and Fine Tuning/3. Dataset preprocessing.srt

6.3 kB

6. Transfer Learning and Fine Tuning/4. Loading the MobileNet V2 model.mp4.!qB

18 MB

6. Transfer Learning and Fine Tuning/4. Loading the MobileNet V2 model.srt

3.8 kB

6. Transfer Learning and Fine Tuning/5. Freezing the pre-trained model.mp4.!qB

6.1 MB

6. Transfer Learning and Fine Tuning/5. Freezing the pre-trained model.srt

1.7 kB

6. Transfer Learning and Fine Tuning/6. Adding a custom head to the pre-trained model.mp4.!qB

20 MB

6. Transfer Learning and Fine Tuning/6. Adding a custom head to the pre-trained model.srt

4.2 kB

6. Transfer Learning and Fine Tuning/7. Defining the transfer learning model.mp4.!qB

13 MB

6. Transfer Learning and Fine Tuning/7. Defining the transfer learning model.srt

2.4 kB

6. Transfer Learning and Fine Tuning/8. Compiling the Transfer Learning model.mp4.!qB

13 MB

6. Transfer Learning and Fine Tuning/8. Compiling the Transfer Learning model.srt

3.5 kB

6. Transfer Learning and Fine Tuning/9. Image Data Generators.mp4.!qB

33 MB

6. Transfer Learning and Fine Tuning/9. Image Data Generators.srt

6.3 kB

7. Deep Reinforcement Learning Theory/1. What is Reinforcement Learning.mp4.!qB

68 MB

7. Deep Reinforcement Learning Theory/1. What is Reinforcement Learning.srt

18 kB

7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4.!qB

95 MB

7. Deep Reinforcement Learning Theory/2. The Bellman Equation.srt

31 kB

7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4.!qB

94 MB

7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).srt

27 kB

7. Deep Reinforcement Learning Theory/4. Q-Learning Intuition.mp4.!qB

79 MB

7. Deep Reinforcement Learning Theory/4. Q-Learning Intuition.srt

22 kB

7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4.!qB

97 MB

7. Deep Reinforcement Learning Theory/5. Temporal Difference.srt

29 kB

7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4.!qB

100 MB

7. Deep Reinforcement Learning Theory/7. Deep Q-Learning Intuition - Step 2.mp4.!qB

43 MB

7. Deep Reinforcement Learning Theory/7. Deep Q-Learning Intuition - Step 2.srt

9.8 kB

7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4.!qB

112 MB

7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4.!qB

135 MB

8. Deep Reinforcement Learning for Stock Market trading/1. Project Setup.mp4.!qB

12 MB

8. Deep Reinforcement Learning for Stock Market trading/1. Project Setup.srt

2.9 kB

8. Deep Reinforcement Learning for Stock Market trading/1.1 Google Colab Deep-Q Trading Bot.html

134 B

8. Deep Reinforcement Learning for Stock Market trading/10. Defining the model.mp4.!qB

12 MB

8. Deep Reinforcement Learning for Stock Market trading/10. Defining the model.srt

3.2 kB

8. Deep Reinforcement Learning for Stock Market trading/11. Training loop - Step 1.mp4.!qB

25 MB

8. Deep Reinforcement Learning for Stock Market trading/12. Training loop - Step 2.mp4.!qB

53 MB

8. Deep Reinforcement Learning for Stock Market trading/2. AI Trader - Step 1.mp4.!qB

27 MB

8. Deep Reinforcement Learning for Stock Market trading/3. AI Trader - Step 2.mp4.!qB

9.6 MB

8. Deep Reinforcement Learning for Stock Market trading/4. AI Trader - Step 3.mp4.!qB

16 MB

8. Deep Reinforcement Learning for Stock Market trading/5. AI Trader - Step 4.mp4.!qB

16 MB

8. Deep Reinforcement Learning for Stock Market trading/5. AI Trader - Step 4.srt

3.4 kB

8. Deep Reinforcement Learning for Stock Market trading/6. AI Trader - Step 5.mp4.!qB

33 MB

8. Deep Reinforcement Learning for Stock Market trading/6. AI Trader - Step 5.srt

6.2 kB

8. Deep Reinforcement Learning for Stock Market trading/7. Dataset Loader function.mp4.!qB

34 MB

8. Deep Reinforcement Learning for Stock Market trading/8. State creator function.mp4.!qB

31 MB

8. Deep Reinforcement Learning for Stock Market trading/9. Loading the dataset.mp4.!qB

9.5 MB

9. Data Validation with TensorFlow Data Validation (TFDV)/1. Project Setup.mp4.!qB

20 MB

9. Data Validation with TensorFlow Data Validation (TFDV)/2. Loading the pollution dataset.mp4.!qB

24 MB

9. Data Validation with TensorFlow Data Validation (TFDV)/3. Creating dataset Schema.mp4.!qB

24 MB

9. Data Validation with TensorFlow Data Validation (TFDV)/3. Creating dataset Schema.srt

6.4 kB

9. Data Validation with TensorFlow Data Validation (TFDV)/4. Computing test set statistics.mp4.!qB

2.5 MB

9. Data Validation with TensorFlow Data Validation (TFDV)/4. Computing test set statistics.srt

840 B

9. Data Validation with TensorFlow Data Validation (TFDV)/5. Anomaly detection with TensorFlow Data Validation.mp4.!qB

21 MB

9. Data Validation with TensorFlow Data Validation (TFDV)/6. Preparing Schema for production.mp4.!qB

19 MB

9. Data Validation with TensorFlow Data Validation (TFDV)/7. Saving the Schema.mp4.!qB

6.0 MB