Udemy A Complete Guide on TensorFlow 2 0 using Keras API
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Udemy A Complete Guide on TensorFlow 2 0 using Keras API
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Udemy A Complete Guide on TensorFlow 2 0 using Keras API
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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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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 -
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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Get Bonus Downloads Here.url -
182 bytes
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
002 Course Curriculum & Colab Toolkit.html -
464 bytes
003 BONUS 10 advantages of TensorFlow.html -
613 bytes
004 BONUS Learning Path.html -
1.4 KB
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
002 Constants, Variables, Tensors.mp4 -
23.1 MB
002 Constants, Variables, Tensors_en.vtt -
12.0 KB
003 Operations with Tensors.mp4 -
19.5 MB
003 Operations with Tensors_en.vtt -
8.3 KB
004 Strings.mp4 -
14.8 MB
004 Strings_en.vtt -
8.1 KB
external-assets-links.txt -
124 bytes
001 Project Setup.mp4 -
22.3 MB
001 Project Setup_en.vtt -
8.0 KB
002 Data Preprocessing.mp4 -
21.1 MB
002 Data Preprocessing_en.vtt -
9.3 KB
003 Building the Artificial Neural Network.mp4 -
22.9 MB
003 Building the Artificial Neural Network_en.vtt -
13.5 KB
004 Training the Artificial Neural Network.mp4 -
17.3 MB
004 Training the Artificial Neural Network_en.vtt -
9.6 KB
005 Evaluating the Artificial Neural Network.mp4 -
11.2 MB
005 Evaluating the Artificial Neural Network_en.vtt -
6.1 KB
006 HOMEWORK Artificial Neural Networks.html -
493 bytes
007 HOMEWORK SOLUTION Artificial Neural Networks.html -
421 bytes
external-assets-links.txt -
95 bytes
001 Project Setup & Data Preprocessing.mp4 -
17.2 MB
001 Project Setup & Data Preprocessing_en.vtt -
10.0 KB
002 Building the Convolutional Neural Network.mp4 -
56.6 MB
002 Building the Convolutional Neural Network_en.vtt -
18.3 KB
003 Training and Evaluating the Convolutional Neural Network.mp4 -
19.8 MB
003 Training and Evaluating the Convolutional Neural Network_en.vtt -
10.0 KB
004 HOMEWORK Convolutional Neural Networks.html -
500 bytes
005 HOMEWORK SOLUTION Convolutional Neural Networks.html -
573 bytes
external-assets-links.txt -
95 bytes
001 Project Setup & Data Preprocessing.mp4 -
28.9 MB
001 Project Setup & Data Preprocessing_en.vtt -
9.2 KB
002 Building the Recurrent Neural Network.mp4 -
15.0 MB
002 Building the Recurrent Neural Network_en.vtt -
8.4 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
external-assets-links.txt -
95 bytes
001 What is Transfer Learning.mp4 -
46.5 MB
001 What is Transfer Learning_en.vtt -
5.5 KB
002 Project Setup.mp4 -
44.5 MB
002 Project Setup_en.vtt -
3.9 KB
003 Dataset preprocessing.mp4 -
14.8 MB
003 Dataset preprocessing_en.vtt -
5.7 KB
004 Loading the MobileNet V2 model.mp4 -
14.8 MB
004 Loading the MobileNet V2 model_en.vtt -
3.3 KB
005 Freezing the pre-trained model.mp4 -
2.6 MB
005 Freezing the pre-trained model_en.vtt -
1.6 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
007 Defining the transfer learning model.mp4 -
10.0 MB
007 Defining the transfer learning model_en.vtt -
2.1 KB
008 Compiling the Transfer Learning model.mp4 -
4.9 MB
008 Compiling the Transfer Learning model_en.vtt -
3.1 KB
009 Image Data Generators.mp4 -
15.4 MB
009 Image Data Generators_en.vtt -
5.6 KB
010 Transfer Learning.mp4 -
7.6 MB
010 Transfer Learning_en.vtt -
2.8 KB
011 Evaluating Transfer Learning results.mp4 -
3.6 MB
011 Evaluating Transfer Learning results_en.vtt -
1.6 KB
012 Fine Tuning model definition.mp4 -
9.4 MB
012 Fine Tuning model definition_en.vtt -
4.1 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
external-assets-links.txt -
125 bytes
001 What is Reinforcement Learning.mp4 -
24.9 MB
001 What is Reinforcement Learning_en.vtt -
16.9 KB
002 The Bellman Equation.mp4 -
48.2 MB
002 The Bellman Equation_en.vtt -
28.2 KB
003 Markov Decision Process (MDP).mp4 -
42.4 MB
003 Markov Decision Process (MDP)_en.vtt -
24.5 KB
004 Q-Learning Intuition.mp4 -
29.3 MB
004 Q-Learning Intuition_en.vtt -
20.3 KB
005 Temporal Difference.mp4 -
36.6 MB
005 Temporal Difference_en.vtt -
26.1 KB
006 Deep Q-Learning Intuition - Step 1.mp4 -
34.5 MB
006 Deep Q-Learning Intuition - Step 1_en.vtt -
20.5 KB
007 Deep Q-Learning Intuition - Step 2.mp4 -
14.6 MB
007 Deep Q-Learning Intuition - Step 2_en.vtt -
9.0 KB
008 Experience Replay.mp4 -
38.2 MB
008 Experience Replay_en.vtt -
21.9 KB
009 Action Selection Policies.mp4 -
54.4 MB
009 Action Selection Policies_en.vtt -
22.8 KB
001 Project Setup.mp4 -
9.0 MB
001 Project Setup_en.vtt -
2.6 KB
002 AI Trader - Step 1.mp4 -
11.5 MB
002 AI Trader - Step 1_en.vtt -
6.9 KB
003 AI Trader - Step 2.mp4 -
5.0 MB
003 AI Trader - Step 2_en.vtt -
2.4 KB
004 AI Trader - Step 3.mp4 -
6.2 MB
004 AI Trader - Step 3_en.vtt -
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005 AI Trader - Step 4.mp4 -
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005 AI Trader - Step 4_en.vtt -
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006 AI Trader - Step 5.mp4 -
23.3 MB
006 AI Trader - Step 5_en.vtt -
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007 Dataset Loader function.mp4 -
26.5 MB
007 Dataset Loader function_en.vtt -
7.3 KB
008 State creator function.mp4 -
14.2 MB
008 State creator function_en.vtt -
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009 Loading the dataset.mp4 -
3.3 MB
009 Loading the dataset_en.vtt -
1.8 KB
010 Defining the model.mp4 -
5.6 MB
010 Defining the model_en.vtt -
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011 Training loop - Step 1.mp4 -
11.7 MB
011 Training loop - Step 1_en.vtt -
6.3 KB
012 Training loop - Step 2.mp4 -
36.1 MB
012 Training loop - Step 2_en.vtt -
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external-assets-links.txt -
200 bytes
001 Project Setup.mp4 -
9.1 MB
001 Project Setup_en.vtt -
4.1 KB
002 Loading the pollution dataset.mp4 -
11.6 MB
002 Loading the pollution dataset_en.vtt -
4.7 KB
003 Creating dataset Schema.mp4 -
9.6 MB
003 Creating dataset Schema_en.vtt -
6.0 KB
004 Computing test set statistics.mp4 -
1.1 MB
004 Computing test set statistics_en.vtt -
739 bytes
005 Anomaly detection with TensorFlow Data Validation.mp4 -
9.0 MB
005 Anomaly detection with TensorFlow Data Validation_en.vtt -
4.8 KB
006 Preparing Schema for production.mp4 -
8.5 MB
006 Preparing Schema for production_en.vtt -
4.0 KB
007 Saving the Schema.mp4 -
3.8 MB
007 Saving the Schema_en.vtt -
1.6 KB
008 What's next.html -
2.0 KB
18573084-pollution-small.csv -
72.7 KB
external-assets-links.txt -
96 bytes
001 Project Setup.mp4 -
8.2 MB
001 Project Setup_en.vtt -
2.5 KB
002 Initial dataset preprocessing.mp4 -
16.4 MB
002 Initial dataset preprocessing_en.vtt -
7.3 KB
003 Dataset metadata.mp4 -
9.9 MB
003 Dataset metadata_en.vtt -
4.3 KB
004 Preprocessing function.mp4 -
8.9 MB
004 Preprocessing function_en.vtt -
5.3 KB
005 Dataset preprocessing pipeline.mp4 -
59.8 MB
005 Dataset preprocessing pipeline_en.vtt -
9.4 KB
006 What's next.html -
2.1 KB
18573088-pollution-small.csv -
72.7 KB
external-assets-links.txt -
95 bytes
001 Project Setup.mp4 -
15.5 MB
001 Project Setup_en.vtt -
6.9 KB
002 Importing project dependencies.mp4 -
4.8 MB
002 Importing project dependencies_en.vtt -
2.2 KB
003 Loading a pre-trained model.mp4 -
8.4 MB
003 Loading a pre-trained model_en.vtt -
3.5 KB
004 Defining the Flask application.mp4 -
4.4 MB
004 Defining the Flask application_en.vtt -
1.6 KB
005 Creating classify function.mp4 -
16.0 MB
005 Creating classify function_en.vtt -
5.1 KB
006 Starting the Flask application.mp4 -
7.5 MB
006 Starting the Flask application_en.vtt -
2.4 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 -
4.0 KB
app.py -
1.3 KB
fashion_model_flask.h5 -
411.0 KB
fashion_model_flask.json -
1.1 KB
001 What is the TensorFlow Serving.mp4 -
10.1 MB
001 What is the TensorFlow Serving_en.vtt -
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002 TensorFlow Serving architecture.mp4 -
7.7 MB
002 TensorFlow Serving architecture_en.vtt -
4.3 KB
003 Project setup.mp4 -
19.9 MB
003 Project setup_en.vtt -
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004 Dataset preprocessing.mp4 -
11.5 MB
004 Dataset preprocessing_en.vtt -
4.6 KB
005 Defining, training and evaluating a model.mp4 -
16.3 MB
005 Defining, training and evaluating a model_en.vtt -
3.3 KB
006 Saving the model for production.mp4 -
10.3 MB
006 Saving the model for production_en.vtt -
5.0 KB
007 Serving the TensorFlow 2.0 Model.mp4 -
19.6 MB
007 Serving the TensorFlow 2.0 Model_en.vtt -
4.3 KB
008 Creating a JSON object.mp4 -
9.8 MB
008 Creating a JSON object_en.vtt -
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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
010 Sending the POST request to a specific model.mp4 -
4.0 MB
010 Sending the POST request to a specific model_en.vtt -
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external-assets-links.txt -
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001 What is the TensorFlow Lite.mp4 -
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001 What is the TensorFlow Lite_en.vtt -
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002 Project setup.mp4 -
3.7 MB
002 Project setup_en.vtt -
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003 Dataset preprocessing.mp4 -
19.7 MB
003 Dataset preprocessing_en.vtt -
4.0 KB
004 Building a model.mp4 -
6.1 MB
004 Building a model_en.vtt -
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005 Training, evaluating the model.mp4 -
5.5 MB
005 Training, evaluating the model_en.vtt -
2.2 KB
006 Saving the model.mp4 -
3.8 MB
006 Saving the model_en.vtt -
1.9 KB
007 TensorFlow Lite Converter.mp4 -
2.7 MB
007 TensorFlow Lite Converter_en.vtt -
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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
009 Saving the converted model.mp4 -
3.5 MB
009 Saving the converted model_en.vtt -
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010 What's next.html -
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external-assets-links.txt -
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001 What is the Distributed Training.mp4 -
5.3 MB
001 What is the Distributed Training_en.vtt -
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002 Project Setup.mp4 -
7.6 MB
002 Project Setup_en.vtt -
1.7 KB
003 Dataset preprocessing.mp4 -
10.0 MB
003 Dataset preprocessing_en.vtt -
4.9 KB
004 Defining a non-distributed model (normal CNN model).mp4 -
6.0 MB
004 Defining a non-distributed model (normal CNN model)_en.vtt -
3.4 KB
005 Setting up a distributed strategy.mp4 -
3.2 MB
005 Setting up a distributed strategy_en.vtt -
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006 Defining a distributed model.mp4 -
5.0 MB
006 Defining a distributed 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 -
4.0 KB
external-assets-links.txt -
112 bytes
001 Plan of Attack.mp4 -
4.8 MB
001 Plan of Attack_en.vtt -
3.6 KB
002 The Neuron.mp4 -
43.7 MB
002 The Neuron_en.vtt -
23.2 KB
003 The Activation Function.mp4 -
17.3 MB
003 The Activation Function_en.vtt -
11.0 KB
004 How do Neural Networks Work.mp4 -
35.2 MB
004 How do Neural Networks Work_en.vtt -
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005 How do Neural Networks Learn.mp4 -
43.3 MB
005 How do Neural Networks Learn_en.vtt -
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006 Gradient Descent.mp4 -
25.7 MB
006 Gradient Descent_en.vtt -
12.9 KB
007 Stochastic Gradient Descent.mp4 -
31.4 MB
007 Stochastic Gradient Descent_en.vtt -
11.3 KB
008 Backpropagation.mp4 -
17.7 MB
008 Backpropagation_en.vtt -
6.5 KB
001 Plan of Attack.mp4 -
6.2 MB
001 Plan of Attack_en.vtt -
4.9 KB
002 What are Convolutional Neural Networks.mp4 -
71.1 MB
002 What are Convolutional Neural Networks_en.vtt -
20.5 KB
003 Step 1 - Convolution.mp4 -
65.6 MB
003 Step 1 - Convolution_en.vtt -
21.8 KB
004 Step 1 Bis - ReLU Layer.mp4 -
20.6 MB
004 Step 1 Bis - ReLU Layer_en.vtt -
8.5 KB
005 Step 2 - Max Pooling.mp4 -
87.5 MB
005 Step 2 - Max Pooling_en.vtt -
19.9 KB
006 Step 3 - Flattening.mp4 -
3.1 MB
006 Step 3 - Flattening_en.vtt -
2.4 KB
007 Step 4 - Full Connection.mp4 -
58.6 MB
007 Step 4 - Full Connection_en.vtt -
26.6 KB
008 Summary.mp4 -
10.8 MB
008 Summary_en.vtt -
5.6 KB
009 Softmax & Cross-Entropy.mp4 -
51.4 MB
009 Softmax & Cross-Entropy_en.vtt -
23.2 KB
001 Plan of Attack.mp4 -
4.2 MB
001 Plan of Attack_en.vtt -
3.2 KB
002 What are Recurrent Neural Networks.mp4 -
57.5 MB
002 What are Recurrent Neural Networks_en.vtt -
22.0 KB
003 Vanishing Gradient.mp4 -
86.2 MB
003 Vanishing Gradient_en.vtt -
19.1 KB
004 LSTMs.mp4 -
88.9 MB
004 LSTMs_en.vtt -
25.9 KB
005 LSTM Practical Intuition.mp4 -
107.5 MB
005 LSTM Practical Intuition_en.vtt -
19.1 KB
006 LSTM Variations.mp4 -
7.0 MB
006 LSTM Variations_en.vtt -
4.5 KB
001 SPECIAL COVID-19 BONUS.html -
722 bytes
002 YOUR SPECIAL BONUS.html -
1.1 KB
003 FREE LEARNING RESOURCES FOR YOU.html -
2.3 KB
Bonus Resources.txt -
386 bytes
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