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GigaCourse Com Udemy Complete Guide on TensorFlow using Keras API

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[GigaCourse.Com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API

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Total Size

2.8 GB

Total Files

279

Last Seen

2024-11-14 00:21

Hash

041C285AA36354F22742DA191FADA153BC480BDA

/0. Websites you may like/

[CourseClub.ME].url

0.1 KB

[GigaCourse.Com].url

0.0 KB

/01 - Introduction/

001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4

153.4 MB

001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit_en.vtt

24.8 KB

002 Course Curriculum & Colab Toolkit.html

0.5 KB

003 BONUS 10 advantages of TensorFlow.html

0.6 KB

004 BONUS Learning Path.html

1.4 KB

/02 - TensorFlow 2.0 Basics/

001 From TensorFlow 1.x to TensorFlow 2.0.mp4

120.4 MB

001 From TensorFlow 1.x to TensorFlow 2.0_en.vtt

15.8 KB

002 Constants, Variables, Tensors.mp4

24.2 MB

002 Constants, Variables, Tensors_en.vtt

12.3 KB

003 Operations with Tensors.mp4

20.4 MB

003 Operations with Tensors_en.vtt

8.5 KB

004 Strings.mp4

15.5 MB

004 Strings_en.vtt

8.3 KB

external-assets-links.txt

0.1 KB

/03 - Artificial Neural Networks/

001 Project Setup.mp4

23.3 MB

001 Project Setup_en.vtt

8.2 KB

002 Data Preprocessing.mp4

22.2 MB

002 Data Preprocessing_en.vtt

9.5 KB

003 Building the Artificial Neural Network.mp4

24.1 MB

003 Building the Artificial Neural Network_en.vtt

13.8 KB

004 Training the Artificial Neural Network.mp4

18.1 MB

004 Training the Artificial Neural Network_en.vtt

9.8 KB

005 Evaluating the Artificial Neural Network.mp4

11.8 MB

005 Evaluating the Artificial Neural Network_en.vtt

6.2 KB

006 HOMEWORK Artificial Neural Networks.html

0.5 KB

007 HOMEWORK SOLUTION Artificial Neural Networks.html

0.4 KB

[CourseClub.Me].url

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[GigaCourse.Com].url

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external-assets-links.txt

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/04 - Convolutional Neural Networks/

001 Project Setup & Data Preprocessing.mp4

18.0 MB

001 Project Setup & Data Preprocessing_en.vtt

10.2 KB

002 Building the Convolutional Neural Network.mp4

59.3 MB

002 Building the Convolutional Neural Network_en.vtt

18.8 KB

003 Training and Evaluating the Convolutional Neural Network.mp4

20.8 MB

003 Training and Evaluating the Convolutional Neural Network_en.vtt

10.3 KB

004 HOMEWORK Convolutional Neural Networks.html

0.5 KB

005 HOMEWORK SOLUTION Convolutional Neural Networks.html

0.6 KB

external-assets-links.txt

0.1 KB

/05 - Recurrent Neural Networks/

001 Project Setup & Data Preprocessing.mp4

30.3 MB

001 Project Setup & Data Preprocessing_en.vtt

9.5 KB

002 Building the Recurrent Neural Network.mp4

15.7 MB

002 Building the Recurrent Neural Network_en.vtt

8.6 KB

003 Training and Evaluating the Recurrent Neural Network.mp4

18.1 MB

003 Training and Evaluating the Recurrent Neural Network_en.vtt

9.8 KB

external-assets-links.txt

0.1 KB

/06 - Transfer Learning and Fine Tuning/

001 What is Transfer Learning.mp4

48.7 MB

001 What is Transfer Learning_en.vtt

5.6 KB

002 Project Setup.mp4

46.6 MB

002 Project Setup_en.vtt

4.0 KB

003 Dataset preprocessing.mp4

15.5 MB

003 Dataset preprocessing_en.vtt

5.9 KB

004 Loading the MobileNet V2 model.mp4

15.5 MB

004 Loading the MobileNet V2 model_en.vtt

3.4 KB

005 Freezing the pre-trained model.mp4

2.8 MB

005 Freezing the pre-trained model_en.vtt

1.6 KB

006 Adding a custom head to the pre-trained model.mp4

9.3 MB

006 Adding a custom head to the pre-trained model_en.vtt

3.8 KB

007 Defining the transfer learning model.mp4

10.5 MB

007 Defining the transfer learning model_en.vtt

2.1 KB

008 Compiling the Transfer Learning model.mp4

5.1 MB

008 Compiling the Transfer Learning model_en.vtt

3.2 KB

009 Image Data Generators.mp4

16.2 MB

009 Image Data Generators_en.vtt

5.8 KB

010 Transfer Learning.mp4

7.9 MB

010 Transfer Learning_en.vtt

2.8 KB

011 Evaluating Transfer Learning results.mp4

3.8 MB

011 Evaluating Transfer Learning results_en.vtt

1.6 KB

012 Fine Tuning model definition.mp4

9.9 MB

012 Fine Tuning model definition_en.vtt

4.2 KB

013 Compiling the Fine Tuning model.mp4

2.6 MB

013 Compiling the Fine Tuning model_en.vtt

1.3 KB

014 Fine Tuning.mp4

4.5 MB

014 Fine Tuning_en.vtt

2.4 KB

015 Evaluating Fine Tuning results.mp4

3.7 MB

015 Evaluating Fine Tuning results_en.vtt

1.9 KB

external-assets-links.txt

0.1 KB

/07 - Deep Reinforcement Learning Theory/

001 What is Reinforcement Learning.mp4

26.1 MB

001 What is Reinforcement Learning_en.vtt

17.3 KB

002 The Bellman Equation.mp4

50.6 MB

002 The Bellman Equation_en.vtt

28.9 KB

003 Markov Decision Process (MDP).mp4

44.4 MB

003 Markov Decision Process (MDP)_en.vtt

25.1 KB

004 Q-Learning Intuition.mp4

30.7 MB

004 Q-Learning Intuition_en.vtt

20.7 KB

005 Temporal Difference.mp4

38.3 MB

005 Temporal Difference_en.vtt

26.7 KB

006 Deep Q-Learning Intuition - Step 1.mp4

36.2 MB

006 Deep Q-Learning Intuition - Step 1_en.vtt

21.0 KB

007 Deep Q-Learning Intuition - Step 2.mp4

15.3 MB

007 Deep Q-Learning Intuition - Step 2_en.vtt

9.3 KB

008 Experience Replay.mp4

40.0 MB

008 Experience Replay_en.vtt

22.5 KB

009 Action Selection Policies.mp4

57.0 MB

009 Action Selection Policies_en.vtt

23.3 KB

/08 - Deep Reinforcement Learning for Stock Market trading/

001 Project Setup.mp4

9.4 MB

001 Project Setup_en.vtt

2.7 KB

002 AI Trader - Step 1.mp4

12.1 MB

002 AI Trader - Step 1_en.vtt

7.1 KB

003 AI Trader - Step 2.mp4

5.2 MB

003 AI Trader - Step 2_en.vtt

2.4 KB

004 AI Trader - Step 3.mp4

6.5 MB

004 AI Trader - Step 3_en.vtt

2.7 KB

005 AI Trader - Step 4.mp4

7.1 MB

005 AI Trader - Step 4_en.vtt

3.3 KB

006 AI Trader - Step 5.mp4

24.4 MB

006 AI Trader - Step 5_en.vtt

5.9 KB

007 Dataset Loader function.mp4

27.8 MB

007 Dataset Loader function_en.vtt

7.5 KB

008 State creator function.mp4

14.9 MB

008 State creator function_en.vtt

8.9 KB

009 Loading the dataset.mp4

3.5 MB

009 Loading the dataset_en.vtt

1.8 KB

010 Defining the model.mp4

5.9 MB

010 Defining the model_en.vtt

3.0 KB

011 Training loop - Step 1.mp4

12.3 MB

011 Training loop - Step 1_en.vtt

6.4 KB

012 Training loop - Step 2.mp4

37.8 MB

012 Training loop - Step 2_en.vtt

8.7 KB

[CourseClub.Me].url

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[GigaCourse.Com].url

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external-assets-links.txt

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/09 - Data Validation with TensorFlow Data Validation (TFDV)/

001 Project Setup.mp4

9.5 MB

001 Project Setup_en.vtt

4.2 KB

002 Loading the pollution dataset.mp4

12.1 MB

002 Loading the pollution dataset_en.vtt

4.8 KB

003 Creating dataset Schema.mp4

10.0 MB

003 Creating dataset Schema_en.vtt

6.2 KB

004 Computing test set statistics.mp4

1.1 MB

004 Computing test set statistics_en.vtt

0.7 KB

005 Anomaly detection with TensorFlow Data Validation.mp4

9.5 MB

005 Anomaly detection with TensorFlow Data Validation_en.vtt

5.0 KB

006 Preparing Schema for production.mp4

8.9 MB

006 Preparing Schema for production_en.vtt

4.1 KB

007 Saving the Schema.mp4

4.0 MB

007 Saving the Schema_en.vtt

1.6 KB

008 What's next.html

2.0 KB

18573084-pollution-small.csv

74.5 KB

external-assets-links.txt

0.1 KB

/10 - Dataset Preprocessing with TensorFlow Transform (TFT)/

001 Project Setup.mp4

8.6 MB

001 Project Setup_en.vtt

2.5 KB

002 Initial dataset preprocessing.mp4

17.2 MB

002 Initial dataset preprocessing_en.vtt

7.5 KB

003 Dataset metadata.mp4

10.4 MB

003 Dataset metadata_en.vtt

4.4 KB

004 Preprocessing function.mp4

9.4 MB

004 Preprocessing function_en.vtt

5.5 KB

005 Dataset preprocessing pipeline.mp4

62.7 MB

005 Dataset preprocessing pipeline_en.vtt

9.6 KB

006 What's next.html

2.1 KB

18573088-pollution-small.csv

74.5 KB

external-assets-links.txt

0.1 KB

/11 - Fashion API with Flask and TensorFlow 2.0/

001 Project Setup.mp4

16.2 MB

001 Project Setup_en.vtt

7.0 KB

002 Importing project dependencies.mp4

5.1 MB

002 Importing project dependencies_en.vtt

2.3 KB

003 Loading a pre-trained model.mp4

8.8 MB

003 Loading a pre-trained model_en.vtt

3.6 KB

004 Defining the Flask application.mp4

4.6 MB

004 Defining the Flask application_en.vtt

1.7 KB

005 Creating classify function.mp4

16.7 MB

005 Creating classify function_en.vtt

5.3 KB

006 Starting the Flask application.mp4

7.8 MB

006 Starting the Flask application_en.vtt

2.5 KB

007 Sending API requests over internet to the model.mp4

12.1 MB

007 Sending API requests over internet to the model_en.vtt

4.1 KB

19265454-Flask-API.zip

381.3 KB

/12 - Image Classification API with TensorFlow Serving/

001 What is the TensorFlow Serving.mp4

10.6 MB

001 What is the TensorFlow Serving_en.vtt

7.3 KB

002 TensorFlow Serving architecture.mp4

8.1 MB

002 TensorFlow Serving architecture_en.vtt

4.4 KB

003 Project setup.mp4

20.8 MB

003 Project setup_en.vtt

4.2 KB

004 Dataset preprocessing.mp4

12.1 MB

004 Dataset preprocessing_en.vtt

4.7 KB

005 Defining, training and evaluating a model.mp4

17.0 MB

005 Defining, training and evaluating a model_en.vtt

3.4 KB

006 Saving the model for production.mp4

10.8 MB

006 Saving the model for production_en.vtt

5.1 KB

007 Serving the TensorFlow 2.0 Model.mp4

20.5 MB

007 Serving the TensorFlow 2.0 Model_en.vtt

4.4 KB

008 Creating a JSON object.mp4

10.2 MB

008 Creating a JSON object_en.vtt

3.2 KB

009 Sending the first POST request to the model.mp4

11.7 MB

009 Sending the first POST request to the model_en.vtt

6.2 KB

010 Sending the POST request to a specific model.mp4

4.2 MB

010 Sending the POST request to a specific model_en.vtt

2.3 KB

[CourseClub.Me].url

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[GigaCourse.Com].url

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external-assets-links.txt

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/13 - TensorFlow Lite Prepare a model for a mobile device/

001 What is the TensorFlow Lite.mp4

6.2 MB

001 What is the TensorFlow Lite_en.vtt

4.6 KB

002 Project setup.mp4

3.9 MB

002 Project setup_en.vtt

2.4 KB

003 Dataset preprocessing.mp4

20.6 MB

003 Dataset preprocessing_en.vtt

4.1 KB

004 Building a model.mp4

6.4 MB

004 Building a model_en.vtt

3.2 KB

005 Training, evaluating the model.mp4

5.7 MB

005 Training, evaluating the model_en.vtt

2.3 KB

006 Saving the model.mp4

4.0 MB

006 Saving the model_en.vtt

2.0 KB

007 TensorFlow Lite Converter.mp4

2.8 MB

007 TensorFlow Lite Converter_en.vtt

1.7 KB

008 Converting the model to a TensorFlow Lite model.mp4

2.2 MB

008 Converting the model to a TensorFlow Lite model_en.vtt

1.4 KB

009 Saving the converted model.mp4

3.7 MB

009 Saving the converted model_en.vtt

1.8 KB

010 What's next.html

2.2 KB

external-assets-links.txt

0.1 KB

/14 - Distributed Training with TensorFlow 2.0/

001 What is the Distributed Training.mp4

5.5 MB

001 What is the Distributed Training_en.vtt

4.1 KB

002 Project Setup.mp4

8.0 MB

002 Project Setup_en.vtt

1.8 KB

003 Dataset preprocessing.mp4

10.5 MB

003 Dataset preprocessing_en.vtt

5.0 KB

004 Defining a non-distributed model (normal CNN model).mp4

6.3 MB

004 Defining a non-distributed model (normal CNN model)_en.vtt

3.5 KB

005 Setting up a distributed strategy.mp4

3.4 MB

005 Setting up a distributed strategy_en.vtt

2.0 KB

006 Defining a distributed model.mp4

5.3 MB

006 Defining a distributed model_en.vtt

2.2 KB

007 Final evaluation - Speed test normal model vs distributed model.mp4

20.0 MB

007 Final evaluation - Speed test normal model vs distributed model_en.vtt

4.1 KB

external-assets-links.txt

0.1 KB

/15 - Annex 1 - Artificial Neural Networks Theory/

001 Plan of Attack.mp4

5.0 MB

001 Plan of Attack_en.vtt

3.7 KB

002 The Neuron.mp4

45.8 MB

002 The Neuron_en.vtt

23.7 KB

003 The Activation Function.mp4

18.1 MB

003 The Activation Function_en.vtt

11.3 KB

004 How do Neural Networks Work.mp4

36.9 MB

004 How do Neural Networks Work_en.vtt

18.5 KB

005 How do Neural Networks Learn.mp4

45.4 MB

005 How do Neural Networks Learn_en.vtt

17.7 KB

006 Gradient Descent.mp4

26.9 MB

006 Gradient Descent_en.vtt

13.2 KB

007 Stochastic Gradient Descent.mp4

32.9 MB

007 Stochastic Gradient Descent_en.vtt

11.6 KB

008 Backpropagation.mp4

18.5 MB

008 Backpropagation_en.vtt

6.6 KB

/16 - Annex 2 - Convolutional Neural Networks Theory/

001 Plan of Attack.mp4

6.5 MB

001 Plan of Attack_en.vtt

5.0 KB

002 What are Convolutional Neural Networks.mp4

74.5 MB

002 What are Convolutional Neural Networks_en.vtt

21.0 KB

003 Step 1 - Convolution.mp4

68.8 MB

003 Step 1 - Convolution_en.vtt

22.4 KB

004 Step 1 Bis - ReLU Layer.mp4

21.6 MB

004 Step 1 Bis - ReLU Layer_en.vtt

8.7 KB

005 Step 2 - Max Pooling.mp4

91.7 MB

005 Step 2 - Max Pooling_en.vtt

20.4 KB

006 Step 3 - Flattening.mp4

3.3 MB

006 Step 3 - Flattening_en.vtt

2.5 KB

007 Step 4 - Full Connection.mp4

61.4 MB

007 Step 4 - Full Connection_en.vtt

27.2 KB

008 Summary.mp4

11.3 MB

008 Summary_en.vtt

5.8 KB

009 Softmax & Cross-Entropy.mp4

53.9 MB

009 Softmax & Cross-Entropy_en.vtt

23.7 KB

[CourseClub.Me].url

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[GigaCourse.Com].url

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/17 - Annex 3 - Recurrent Neural Networks Theory/

001 Plan of Attack.mp4

4.4 MB

001 Plan of Attack_en.vtt

3.3 KB

002 What are Recurrent Neural Networks.mp4

60.3 MB

002 What are Recurrent Neural Networks_en.vtt

22.5 KB

003 Vanishing Gradient.mp4

90.4 MB

003 Vanishing Gradient_en.vtt

19.6 KB

004 LSTMs.mp4

93.2 MB

004 LSTMs_en.vtt

26.5 KB

005 LSTM Practical Intuition.mp4

112.7 MB

005 LSTM Practical Intuition_en.vtt

19.5 KB

006 LSTM Variations.mp4

7.4 MB

006 LSTM Variations_en.vtt

4.6 KB

/18 - Bonus Lectures/

001 SPECIAL COVID-19 BONUS.html

0.7 KB

002 YOUR SPECIAL BONUS.html

1.2 KB

003 FREE LEARNING RESOURCES FOR YOU.html

2.3 KB

/

[CourseClub.Me].url

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[GigaCourse.Com].url

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Total files 279


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