| 001 From TensorFlow 1.x to TensorFlow 2.0.mp4 | 114.8 MB | ||
| 001 From TensorFlow 1.x to TensorFlow 2.0_en.vtt | 15.5 KB | ||
| 001 Plan of Attack.mp4 | 4.2 MB | ||
| 001 Plan of Attack_en.vtt | 3.2 KB | ||
| 001 Project Setup & Data Preprocessing.mp4 | 28.9 MB | ||
| 001 Project Setup & Data Preprocessing_en.vtt | 9.3 KB | ||
| 001 Project Setup.mp4 | 15.5 MB | ||
| 001 Project Setup_en.vtt | 6.9 KB | ||
| 001 SPECIAL COVID-19 BONUS.html | 716.8 B | ||
| 001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit.mp4 | 146.3 MB | ||
| 001 Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit_en.vtt | 24.2 KB | ||
| 001 What is Reinforcement Learning.mp4 | 24.9 MB | ||
| 001 What is Reinforcement Learning_en.vtt | 16.9 KB | ||
| 001 What is Transfer Learning.mp4 | 46.5 MB | ||
| 001 What is Transfer Learning_en.vtt | 5.5 KB | ||
| 001 What is the Distributed Training.mp4 | 5.3 MB | ||
| 001 What is the Distributed Training_en.vtt | 4 KB | ||
| 001 What is the TensorFlow Lite.mp4 | 5.9 MB | ||
| 001 What is the TensorFlow Lite_en.vtt | 4.5 KB | ||
| 001 What is the TensorFlow Serving.mp4 | 10.1 MB | ||
| 001 What is the TensorFlow Serving_en.vtt | 7.1 KB | ||
| 002 AI Trader - Step 1.mp4 | 11.5 MB | ||
| 002 AI Trader - Step 1_en.vtt | 6.9 KB | ||
| 002 Building the Convolutional Neural Network.mp4 | 56.6 MB | ||
| 002 Building the Convolutional Neural Network_en.vtt | 18.3 KB | ||
| 002 Building the Recurrent Neural Network.mp4 | 15 MB | ||
| 002 Building the Recurrent Neural Network_en.vtt | 8.4 KB | ||
| 002 Constants, Variables, Tensors.mp4 | 23.1 MB | ||
| 002 Constants, Variables, Tensors_en.vtt | 12 KB | ||
| 002 Course Curriculum & Colab Toolkit.html | 512 B | ||
| 002 Data Preprocessing.mp4 | 21.1 MB | ||
| 002 Data Preprocessing_en.vtt | 9.3 KB | ||
| 002 Importing project dependencies.mp4 | 4.8 MB | ||
| 002 Importing project dependencies_en.vtt | 2.2 KB | ||
| 002 Initial dataset preprocessing.mp4 | 16.4 MB | ||
| 002 Initial dataset preprocessing_en.vtt | 7.3 KB | ||
| 002 Loading the pollution dataset.mp4 | 11.6 MB | ||
| 002 Loading the pollution dataset_en.vtt | 4.7 KB | ||
| 002 Project Setup.mp4 | 7.6 MB | ||
| 002 Project Setup_en.vtt | 1.7 KB | ||
| 002 Project setup.mp4 | 3.7 MB | ||
| 002 Project setup_en.vtt | 2.3 KB | ||
| 002 TensorFlow Serving architecture.mp4 | 7.7 MB | ||
| 002 TensorFlow Serving architecture_en.vtt | 4.3 KB | ||
| 002 The Bellman Equation.mp4 | 48.2 MB | ||
| 002 The Bellman Equation_en.vtt | 28.2 KB | ||
| 002 The Neuron.mp4 | 43.7 MB | ||
| 002 The Neuron_en.vtt | 23.2 KB | ||
| 002 What are Convolutional Neural Networks.mp4 | 71.1 MB | ||
| 002 What are Convolutional Neural Networks_en.vtt | 20.5 KB | ||
| 002 What are Recurrent Neural Networks.mp4 | 57.5 MB | ||
| 002 What are Recurrent Neural Networks_en.vtt | 22 KB | ||
| 002 YOUR SPECIAL BONUS.html | 1.1 KB | ||
| 003 AI Trader - Step 2.mp4 | 5 MB | ||
| 003 AI Trader - Step 2_en.vtt | 2.4 KB | ||
| 003 BONUS 10 advantages of TensorFlow.html | 614.4 B | ||
| 003 Building the Artificial Neural Network.mp4 | 22.9 MB | ||
| 003 Building the Artificial Neural Network_en.vtt | 13.5 KB | ||
| 003 Creating dataset Schema.mp4 | 9.6 MB | ||
| 003 Creating dataset Schema_en.vtt | 6 KB | ||
| 003 Dataset metadata.mp4 | 9.9 MB | ||
| 003 Dataset metadata_en.vtt | 4.3 KB | ||
| 003 Dataset preprocessing.mp4 | 10 MB | ||
| 003 Dataset preprocessing_en.vtt | 4.9 KB | ||
| 003 FREE LEARNING RESOURCES FOR YOU.html | 2.3 KB | ||
| 003 Loading a pre-trained model.mp4 | 8.4 MB | ||
| 003 Loading a pre-trained model_en.vtt | 3.5 KB | ||
| 003 Markov Decision Process (MDP).mp4 | 42.4 MB | ||
| 003 Markov Decision Process (MDP)_en.vtt | 24.5 KB | ||
| 003 Operations with Tensors.mp4 | 19.5 MB | ||
| 003 Operations with Tensors_en.vtt | 8.3 KB | ||
| 003 Project setup.mp4 | 19.9 MB | ||
| 003 Project setup_en.vtt | 4.1 KB | ||
| 003 Step 1 - Convolution.mp4 | 65.6 MB | ||
| 003 Step 1 - Convolution_en.vtt | 21.8 KB | ||
| 003 The Activation Function.mp4 | 17.3 MB | ||
| 003 The Activation Function_en.vtt | 11 KB | ||
| 003 Training and Evaluating the Convolutional Neural Network.mp4 | 19.8 MB | ||
| 003 Training and Evaluating the Convolutional Neural Network_en.vtt | 10 KB | ||
| 003 Training and Evaluating the Recurrent Neural Network.mp4 | 17.3 MB | ||
| 003 Training and Evaluating the Recurrent Neural Network_en.vtt | 9.6 KB | ||
| 003 Vanishing Gradient.mp4 | 86.2 MB | ||
| 003 Vanishing Gradient_en.vtt | 19.1 KB | ||
| 004 AI Trader - Step 3.mp4 | 6.2 MB | ||
| 004 AI Trader - Step 3_en.vtt | 2.6 KB | ||
| 004 BONUS Learning Path.html | 1.4 KB | ||
| 004 Building a model.mp4 | 6.1 MB | ||
| 004 Building a model_en.vtt | 3.1 KB | ||
| 004 Computing test set statistics.mp4 | 1.1 MB | ||
| 004 Computing test set statistics_en.vtt | 716.8 B | ||
| 004 Dataset preprocessing.mp4 | 11.5 MB | ||
| 004 Dataset preprocessing_en.vtt | 4.6 KB | ||
| 004 Defining a non-distributed model (normal CNN model).mp4 | 6 MB | ||
| 004 Defining a non-distributed model (normal CNN model)_en.vtt | 3.4 KB | ||
| 004 Defining the Flask application.mp4 | 4.4 MB | ||
| 004 Defining the Flask application_en.vtt | 1.6 KB | ||
| 004 HOMEWORK Convolutional Neural Networks.html | 512 B | ||
| 004 How do Neural Networks Work.mp4 | 35.2 MB | ||
| 004 How do Neural Networks Work_en.vtt | 18.1 KB | ||
| 004 LSTMs.mp4 | 88.9 MB | ||
| 004 LSTMs_en.vtt | 25.9 KB | ||
| 004 Loading the MobileNet V2 model.mp4 | 14.8 MB | ||
| 004 Loading the MobileNet V2 model_en.vtt | 3.3 KB | ||
| 004 Preprocessing function.mp4 | 8.9 MB | ||
| 004 Preprocessing function_en.vtt | 5.3 KB | ||
| 004 Q-Learning Intuition.mp4 | 29.3 MB | ||
| 004 Q-Learning Intuition_en.vtt | 20.3 KB | ||
| 004 Step 1 Bis - ReLU Layer.mp4 | 20.6 MB | ||
| 004 Step 1 Bis - ReLU Layer_en.vtt | 8.5 KB | ||
| 004 Strings.mp4 | 14.8 MB | ||
| 004 Strings_en.vtt | 8.1 KB | ||
| 004 Training the Artificial Neural Network.mp4 | 17.3 MB | ||
| 004 Training the Artificial Neural Network_en.vtt | 9.6 KB | ||
| 005 AI Trader - Step 4.mp4 | 6.8 MB | ||
| 005 AI Trader - Step 4_en.vtt | 3.2 KB | ||
| 005 Anomaly detection with TensorFlow Data Validation.mp4 | 9 MB | ||
| 005 Anomaly detection with TensorFlow Data Validation_en.vtt | 4.8 KB | ||
| 005 Creating classify function.mp4 | 16 MB | ||
| 005 Creating classify function_en.vtt | 5.1 KB | ||
| 005 Dataset preprocessing pipeline.mp4 | 59.8 MB | ||
| 005 Dataset preprocessing pipeline_en.vtt | 9.4 KB | ||
| 005 Defining, training and evaluating a model.mp4 | 16.3 MB | ||
| 005 Defining, training and evaluating a model_en.vtt | 3.3 KB | ||
| 005 Evaluating the Artificial Neural Network.mp4 | 11.2 MB | ||
| 005 Evaluating the Artificial Neural Network_en.vtt | 6.1 KB | ||
| 005 Freezing the pre-trained model.mp4 | 2.6 MB | ||
| 005 Freezing the pre-trained model_en.vtt | 1.6 KB | ||
| 005 HOMEWORK SOLUTION Convolutional Neural Networks.html | 614.4 B | ||
| 005 How do Neural Networks Learn.mp4 | 43.3 MB | ||
| 005 How do Neural Networks Learn_en.vtt | 17.3 KB | ||
| 005 LSTM Practical Intuition.mp4 | 107.5 MB | ||
| 005 LSTM Practical Intuition_en.vtt | 19.1 KB | ||
| 005 Setting up a distributed strategy.mp4 | 3.2 MB | ||
| 005 Setting up a distributed strategy_en.vtt | 1.9 KB | ||
| 005 Step 2 - Max Pooling.mp4 | 87.5 MB | ||
| 005 Step 2 - Max Pooling_en.vtt | 19.9 KB | ||
| 005 Temporal Difference.mp4 | 36.6 MB | ||
| 005 Temporal Difference_en.vtt | 26.1 KB | ||
| 005 Training, evaluating the model.mp4 | 5.5 MB | ||
| 005 Training, evaluating the model_en.vtt | 2.2 KB | ||
| 006 AI Trader - Step 5.mp4 | 23.3 MB | ||
| 006 AI Trader - Step 5_en.vtt | 5.8 KB | ||
| 006 Adding a custom head to the pre-trained model.mp4 | 8.9 MB | ||
| 006 Adding a custom head to the pre-trained model_en.vtt | 3.7 KB | ||
| 006 Deep Q-Learning Intuition - Step 1.mp4 | 34.5 MB | ||
| 006 Deep Q-Learning Intuition - Step 1_en.vtt | 20.5 KB | ||
| 006 Defining a distributed model.mp4 | 5 MB | ||
| 006 Defining a distributed model_en.vtt | 2.1 KB | ||
| 006 Gradient Descent.mp4 | 25.7 MB | ||
| 006 Gradient Descent_en.vtt | 12.9 KB | ||
| 006 HOMEWORK Artificial Neural Networks.html | 512 B | ||
| 006 LSTM Variations.mp4 | 7 MB | ||
| 006 LSTM Variations_en.vtt | 4.5 KB | ||
| 006 Preparing Schema for production.mp4 | 8.5 MB | ||
| 006 Preparing Schema for production_en.vtt | 4 KB | ||
| 006 Saving the model for production.mp4 | 10.3 MB | ||
| 006 Saving the model for production_en.vtt | 5 KB | ||
| 006 Saving the model.mp4 | 3.8 MB | ||
| 006 Saving the model_en.vtt | 1.9 KB | ||
| 006 Starting the Flask application.mp4 | 7.5 MB | ||
| 006 Starting the Flask application_en.vtt | 2.4 KB | ||
| 006 Step 3 - Flattening.mp4 | 3.1 MB | ||
| 006 Step 3 - Flattening_en.vtt | 2.4 KB | ||
| 006 What's next.html | 2.1 KB | ||
| 007 Dataset Loader function.mp4 | 26.5 MB | ||
| 007 Dataset Loader function_en.vtt | 7.3 KB | ||
| 007 Deep Q-Learning Intuition - Step 2.mp4 | 14.6 MB | ||
| 007 Deep Q-Learning Intuition - Step 2_en.vtt | 9 KB | ||
| 007 Defining the transfer learning model.mp4 | 10 MB | ||
| 007 Defining the transfer learning model_en.vtt | 2.1 KB | ||
| 007 Final evaluation - Speed test normal model vs distributed model.mp4 | 19.1 MB | ||
| 007 Final evaluation - Speed test normal model vs distributed model_en.vtt | 4 KB | ||
| 007 HOMEWORK SOLUTION Artificial Neural Networks.html | 409.6 B | ||
| 007 Saving the Schema.mp4 | 3.8 MB | ||
| 007 Saving the Schema_en.vtt | 1.6 KB | ||
| 007 Sending API requests over internet to the model.mp4 | 11.6 MB | ||
| 007 Sending API requests over internet to the model_en.vtt | 4 KB | ||
| 007 Serving the TensorFlow 2.0 Model.mp4 | 19.6 MB | ||
| 007 Serving the TensorFlow 2.0 Model_en.vtt | 4.3 KB | ||
| 007 Step 4 - Full Connection.mp4 | 58.6 MB | ||
| 007 Step 4 - Full Connection_en.vtt | 26.6 KB | ||
| 007 Stochastic Gradient Descent.mp4 | 31.4 MB | ||
| 007 Stochastic Gradient Descent_en.vtt | 11.3 KB | ||
| 007 TensorFlow Lite Converter.mp4 | 2.7 MB | ||
| 007 TensorFlow Lite Converter_en.vtt | 1.7 KB | ||
| 008 Backpropagation.mp4 | 17.7 MB | ||
| 008 Backpropagation_en.vtt | 6.5 KB | ||
| 008 Compiling the Transfer Learning model.mp4 | 4.9 MB | ||
| 008 Compiling the Transfer Learning model_en.vtt | 3.1 KB | ||
| 008 Converting the model to a TensorFlow Lite model.mp4 | 2.1 MB | ||
| 008 Converting the model to a TensorFlow Lite model_en.vtt | 1.3 KB | ||
| 008 Creating a JSON object.mp4 | 9.8 MB | ||
| 008 Creating a JSON object_en.vtt | 3.1 KB | ||
| 008 Experience Replay.mp4 | 38.2 MB | ||
| 008 Experience Replay_en.vtt | 21.9 KB | ||
| 008 State creator function.mp4 | 14.2 MB | ||
| 008 State creator function_en.vtt | 8.7 KB | ||
| 008 Summary.mp4 | 10.8 MB | ||
| 008 Summary_en.vtt | 5.6 KB | ||
| 008 What's next.html | 2 KB | ||
| 009 Action Selection Policies.mp4 | 54.4 MB | ||
| 009 Action Selection Policies_en.vtt | 22.8 KB | ||
| 009 Image Data Generators.mp4 | 15.4 MB | ||
| 009 Image Data Generators_en.vtt | 5.6 KB | ||
| 009 Loading the dataset.mp4 | 3.3 MB | ||
| 009 Loading the dataset_en.vtt | 1.8 KB | ||
| 009 Saving the converted model.mp4 | 3.5 MB | ||
| 009 Saving the converted model_en.vtt | 1.8 KB | ||
| 009 Sending the first POST request to the model.mp4 | 11.2 MB | ||
| 009 Sending the first POST request to the model_en.vtt | 6.1 KB | ||
| 009 Softmax & Cross-Entropy.mp4 | 51.4 MB | ||
| 009 Softmax & Cross-Entropy_en.vtt | 23.2 KB | ||
| 010 Defining the model.mp4 | 5.6 MB | ||
| 010 Defining the model_en.vtt | 2.9 KB | ||
| 010 Sending the POST request to a specific model.mp4 | 4 MB | ||
| 010 Sending the POST request to a specific model_en.vtt | 2.3 KB | ||
| 010 Transfer Learning.mp4 | 7.6 MB | ||
| 010 Transfer Learning_en.vtt | 2.8 KB | ||
| 010 What's next.html | 2.2 KB | ||
| 011 Evaluating Transfer Learning results.mp4 | 3.6 MB | ||
| 011 Evaluating Transfer Learning results_en.vtt | 1.6 KB | ||
| 011 Training loop - Step 1.mp4 | 11.7 MB | ||
| 011 Training loop - Step 1_en.vtt | 6.3 KB | ||
| 012 Fine Tuning model definition.mp4 | 9.4 MB | ||
| 012 Fine Tuning model definition_en.vtt | 4.1 KB | ||
| 012 Training loop - Step 2.mp4 | 36.1 MB | ||
| 012 Training loop - Step 2_en.vtt | 8.5 KB | ||
| 013 Compiling the Fine Tuning model.mp4 | 2.5 MB | ||
| 013 Compiling the Fine Tuning model_en.vtt | 1.3 KB | ||
| 014 Fine Tuning.mp4 | 4.3 MB | ||
| 014 Fine Tuning_en.vtt | 2.3 KB | ||
| 015 Evaluating Fine Tuning results.mp4 | 3.6 MB | ||
| 015 Evaluating Fine Tuning results_en.vtt | 1.8 KB | ||
| 18573084-pollution-small.csv | 72.7 KB | ||
| 18573088-pollution-small.csv | 72.7 KB | ||
| 19265454-Flask-API.zip | 372.4 KB | ||
| [CourseClub.ME].url | 102.4 B | ||
| [CourseClub.Me].url | 102.4 B | ||
| [GigaCourse.Com].url | 0 B | ||
| external-assets-links.txt | 102.4 B | ||
| ▲ 279 total files | |||
A Complete Guide on TensorFlow 2.0 using Keras API
Build Amazing Applications of Deep Learning and Artificial Intelligence in TensorFlow 2.0
Created by Hadelin de Ponteves, Kirill Eremenko, SuperDataScience Team, Luka Anicin
Last updated 1/2022
English
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For More Udemy Courses Visit: https://gigacourse.com
For More Courses Visit: https://Courseclub.me
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