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[ DevCourseWeb com ] Udemy - A Complete Guide on TensorFlow 2 0 using Keras API
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01 - Introduction
001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4
001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit_en.vtt
002 Course Curriculum & Colab Toolkit.html
003 BONUS 10 advantages of TensorFlow.html
004 BONUS Learning Path.html
02 - TensorFlow 2.0 Basics
001 From TensorFlow 1.x to TensorFlow 2.0.mp4
001 From TensorFlow 1.x to TensorFlow 2.0_en.vtt
002 Constants, Variables, Tensors.mp4
002 Constants, Variables, Tensors_en.vtt
003 Operations with Tensors.mp4
003 Operations with Tensors_en.vtt
004 Strings.mp4
004 Strings_en.vtt
external-assets-links.txt
03 - Artificial Neural Networks
001 Project Setup.mp4
001 Project Setup_en.vtt
002 Data Preprocessing.mp4
002 Data Preprocessing_en.vtt
003 Building the Artificial Neural Network.mp4
003 Building the Artificial Neural Network_en.vtt
004 Training the Artificial Neural Network.mp4
004 Training the Artificial Neural Network_en.vtt
005 Evaluating the Artificial Neural Network.mp4
005 Evaluating the Artificial Neural Network_en.vtt
006 HOMEWORK Artificial Neural Networks.html
007 HOMEWORK SOLUTION Artificial Neural Networks.html
external-assets-links.txt
04 - Convolutional Neural Networks
001 Project Setup & Data Preprocessing.mp4
001 Project Setup & Data Preprocessing_en.vtt
002 Building the Convolutional Neural Network.mp4
002 Building the Convolutional Neural Network_en.vtt
003 Training and Evaluating the Convolutional Neural Network.mp4
003 Training and Evaluating the Convolutional Neural Network_en.vtt
004 HOMEWORK Convolutional Neural Networks.html
005 HOMEWORK SOLUTION Convolutional Neural Networks.html
external-assets-links.txt
05 - Recurrent Neural Networks
001 Project Setup & Data Preprocessing.mp4
001 Project Setup & Data Preprocessing_en.vtt
002 Building the Recurrent Neural Network.mp4
002 Building the Recurrent Neural Network_en.vtt
003 Training and Evaluating the Recurrent Neural Network.mp4
003 Training and Evaluating the Recurrent Neural Network_en.vtt
external-assets-links.txt
06 - Transfer Learning and Fine Tuning
001 What is Transfer Learning.mp4
001 What is Transfer Learning_en.vtt
002 Project Setup.mp4
002 Project Setup_en.vtt
003 Dataset preprocessing.mp4
003 Dataset preprocessing_en.vtt
004 Loading the MobileNet V2 model.mp4
004 Loading the MobileNet V2 model_en.vtt
005 Freezing the pre-trained model.mp4
005 Freezing the pre-trained model_en.vtt
006 Adding a custom head to the pre-trained model.mp4
006 Adding a custom head to the pre-trained model_en.vtt
007 Defining the transfer learning model.mp4
007 Defining the transfer learning model_en.vtt
008 Compiling the Transfer Learning model.mp4
008 Compiling the Transfer Learning model_en.vtt
009 Image Data Generators.mp4
009 Image Data Generators_en.vtt
010 Transfer Learning.mp4
010 Transfer Learning_en.vtt
011 Evaluating Transfer Learning results.mp4
011 Evaluating Transfer Learning results_en.vtt
012 Fine Tuning model definition.mp4
012 Fine Tuning model definition_en.vtt
013 Compiling the Fine Tuning model.mp4
013 Compiling the Fine Tuning model_en.vtt
014 Fine Tuning.mp4
014 Fine Tuning_en.vtt
015 Evaluating Fine Tuning results.mp4
015 Evaluating Fine Tuning results_en.vtt
external-assets-links.txt
07 - Deep Reinforcement Learning Theory
001 What is Reinforcement Learning.mp4
001 What is Reinforcement Learning_en.vtt
002 The Bellman Equation.mp4
002 The Bellman Equation_en.vtt
003 Markov Decision Process (MDP).mp4
003 Markov Decision Process (MDP)_en.vtt
004 Q-Learning Intuition.mp4
004 Q-Learning Intuition_en.vtt
005 Temporal Difference.mp4
005 Temporal Difference_en.vtt
006 Deep Q-Learning Intuition - Step 1.mp4
006 Deep Q-Learning Intuition - Step 1_en.vtt
007 Deep Q-Learning Intuition - Step 2.mp4
007 Deep Q-Learning Intuition - Step 2_en.vtt
008 Experience Replay.mp4
008 Experience Replay_en.vtt
009 Action Selection Policies.mp4
009 Action Selection Policies_en.vtt
08 - Deep Reinforcement Learning for Stock Market trading
001 Project Setup.mp4
001 Project Setup_en.vtt
002 AI Trader - Step 1.mp4
002 AI Trader - Step 1_en.vtt
003 AI Trader - Step 2.mp4
003 AI Trader - Step 2_en.vtt
004 AI Trader - Step 3.mp4
004 AI Trader - Step 3_en.vtt
005 AI Trader - Step 4.mp4
005 AI Trader - Step 4_en.vtt
006 AI Trader - Step 5.mp4
006 AI Trader - Step 5_en.vtt
007 Dataset Loader function.mp4
007 Dataset Loader function_en.vtt
008 State creator function.mp4
008 State creator function_en.vtt
009 Loading the dataset.mp4
009 Loading the dataset_en.vtt
010 Defining the model.mp4
010 Defining the model_en.vtt
011 Training loop - Step 1.mp4
011 Training loop - Step 1_en.vtt
012 Training loop - Step 2.mp4
012 Training loop - Step 2_en.vtt
external-assets-links.txt
09 - Data Validation with TensorFlow Data Validation (TFDV)
001 Project Setup.mp4
001 Project Setup_en.vtt
002 Loading the pollution dataset.mp4
002 Loading the pollution dataset_en.vtt
003 Creating dataset Schema.mp4
003 Creating dataset Schema_en.vtt
004 Computing test set statistics.mp4
004 Computing test set statistics_en.vtt
005 Anomaly detection with TensorFlow Data Validation.mp4
005 Anomaly detection with TensorFlow Data Validation_en.vtt
006 Preparing Schema for production.mp4
006 Preparing Schema for production_en.vtt
007 Saving the Schema.mp4
007 Saving the Schema_en.vtt
008 What's next.html
18573084-pollution-small.csv
external-assets-links.txt
10 - Dataset Preprocessing with TensorFlow Transform (TFT)
001 Project Setup.mp4
001 Project Setup_en.vtt
002 Initial dataset preprocessing.mp4
002 Initial dataset preprocessing_en.vtt
003 Dataset metadata.mp4
003 Dataset metadata_en.vtt
004 Preprocessing function.mp4
004 Preprocessing function_en.vtt
005 Dataset preprocessing pipeline.mp4
005 Dataset preprocessing pipeline_en.vtt
006 What's next.html
18573088-pollution-small.csv
external-assets-links.txt
11 - Fashion API with Flask and TensorFlow 2.0
001 Project Setup.mp4
001 Project Setup_en.vtt
002 Importing project dependencies.mp4
002 Importing project dependencies_en.vtt
003 Loading a pre-trained model.mp4
003 Loading a pre-trained model_en.vtt
004 Defining the Flask application.mp4
004 Defining the Flask application_en.vtt
005 Creating classify function.mp4
005 Creating classify function_en.vtt
006 Starting the Flask application.mp4
006 Starting the Flask application_en.vtt
007 Sending API requests over internet to the model.mp4
007 Sending API requests over internet to the model_en.vtt
app.py
fashion_model_flask.h5
fashion_model_flask.json
12 - Image Classification API with TensorFlow Serving
001 What is the TensorFlow Serving.mp4
001 What is the TensorFlow Serving_en.vtt
002 TensorFlow Serving architecture.mp4
002 TensorFlow Serving architecture_en.vtt
003 Project setup.mp4
003 Project setup_en.vtt
004 Dataset preprocessing.mp4
004 Dataset preprocessing_en.vtt
005 Defining, training and evaluating a model.mp4
005 Defining, training and evaluating a model_en.vtt
006 Saving the model for production.mp4
006 Saving the model for production_en.vtt
007 Serving the TensorFlow 2.0 Model.mp4
007 Serving the TensorFlow 2.0 Model_en.vtt
008 Creating a JSON object.mp4
008 Creating a JSON object_en.vtt
009 Sending the first POST request to the model.mp4
009 Sending the first POST request to the model_en.vtt
010 Sending the POST request to a specific model.mp4
010 Sending the POST request to a specific model_en.vtt
external-assets-links.txt
13 - TensorFlow Lite Prepare a model for a mobile device
001 What is the TensorFlow Lite.mp4
001 What is the TensorFlow Lite_en.vtt
002 Project setup.mp4
002 Project setup_en.vtt
003 Dataset preprocessing.mp4
003 Dataset preprocessing_en.vtt
004 Building a model.mp4
004 Building a model_en.vtt
005 Training, evaluating the model.mp4
005 Training, evaluating the model_en.vtt
006 Saving the model.mp4
006 Saving the model_en.vtt
007 TensorFlow Lite Converter.mp4
007 TensorFlow Lite Converter_en.vtt
008 Converting the model to a TensorFlow Lite model.mp4
008 Converting the model to a TensorFlow Lite model_en.vtt
009 Saving the converted model.mp4
009 Saving the converted model_en.vtt
010 What's next.html
external-assets-links.txt
14 - Distributed Training with TensorFlow 2.0
001 What is the Distributed Training.mp4
001 What is the Distributed Training_en.vtt
002 Project Setup.mp4
002 Project Setup_en.vtt
003 Dataset preprocessing.mp4
003 Dataset preprocessing_en.vtt
004 Defining a non-distributed model (normal CNN model).mp4
004 Defining a non-distributed model (normal CNN model)_en.vtt
005 Setting up a distributed strategy.mp4
005 Setting up a distributed strategy_en.vtt
006 Defining a distributed model.mp4
006 Defining a distributed model_en.vtt
007 Final evaluation - Speed test normal model vs distributed model.mp4
007 Final evaluation - Speed test normal model vs distributed model_en.vtt
external-assets-links.txt
15 - Annex 1 - Artificial Neural Networks Theory
001 Plan of Attack.mp4
001 Plan of Attack_en.vtt
002 The Neuron.mp4
002 The Neuron_en.vtt
003 The Activation Function.mp4
003 The Activation Function_en.vtt
004 How do Neural Networks Work.mp4
004 How do Neural Networks Work_en.vtt
005 How do Neural Networks Learn.mp4
005 How do Neural Networks Learn_en.vtt
006 Gradient Descent.mp4
006 Gradient Descent_en.vtt
007 Stochastic Gradient Descent.mp4
007 Stochastic Gradient Descent_en.vtt
008 Backpropagation.mp4
008 Backpropagation_en.vtt
16 - Annex 2 - Convolutional Neural Networks Theory
001 Plan of Attack.mp4
001 Plan of Attack_en.vtt
002 What are Convolutional Neural Networks.mp4
002 What are Convolutional Neural Networks_en.vtt
003 Step 1 - Convolution.mp4
003 Step 1 - Convolution_en.vtt
004 Step 1 Bis - ReLU Layer.mp4
004 Step 1 Bis - ReLU Layer_en.vtt
005 Step 2 - Max Pooling.mp4
005 Step 2 - Max Pooling_en.vtt
006 Step 3 - Flattening.mp4
006 Step 3 - Flattening_en.vtt
007 Step 4 - Full Connection.mp4
007 Step 4 - Full Connection_en.vtt
008 Summary.mp4
008 Summary_en.vtt
009 Softmax & Cross-Entropy.mp4
009 Softmax & Cross-Entropy_en.vtt
17 - Annex 3 - Recurrent Neural Networks Theory
001 Plan of Attack.mp4
001 Plan of Attack_en.vtt
002 What are Recurrent Neural Networks.mp4
002 What are Recurrent Neural Networks_en.vtt
003 Vanishing Gradient.mp4
003 Vanishing Gradient_en.vtt
004 LSTMs.mp4
004 LSTMs_en.vtt
005 LSTM Practical Intuition.mp4
005 LSTM Practical Intuition_en.vtt
006 LSTM Variations.mp4
006 LSTM Variations_en.vtt
18 - Bonus Lectures
001 SPECIAL COVID-19 BONUS.html
002 YOUR SPECIAL BONUS.html
003 FREE LEARNING RESOURCES FOR YOU.html
Bonus Resources.txt
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