GigaCourse com Udemy Complete Guide on TensorFlow using Keras API

GigaCourse com Udemy Complete Guide on TensorFlow using Keras API

Name	[GigaCourse.com] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API	DOWNLOAD Copy Link
Total Size	5.5 GB
Total Files	281
Hash	5058C8B8B1087CC8E1EB7FCA753ADAA8DC2B7ADB

/0. Extras (Coupons & Freebies)/
100 % OFF Lifetime Access Coupons.url	0.1 KB
Free Udemy Coupons.url	0.1 KB
Readme.txt	1.0 KB
[GigaCourse.com].url	0.0 KB
/0. Websites You May Like/
100 % OFF Lifetime Access Coupons.url	0.1 KB
Free Udemy Coupons.url	0.1 KB
Readme.txt	1.0 KB
[GigaCourse.com].url	0.0 KB
/1. Introduction/
1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4	153.4 MB
1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..srt	27.0 KB
2. Course Curriculum & Colab Toolkit.html	0.5 KB
3. BONUS 10 advantages of TensorFlow.html	0.6 KB
4. BONUS Learning Path.html	1.9 KB
/10. Dataset Preprocessing with TensorFlow Transform (TFT)/
1. Project Setup.mp4	10.5 MB
1. Project Setup.srt	2.8 KB
1.1 Google Colab TFT.html	0.1 KB
1.2 pollution_small.csv	74.5 KB
2. Initial dataset preprocessing.mp4	36.7 MB
2. Initial dataset preprocessing.srt	8.6 KB
3. Dataset metadata.mp4	21.9 MB
3. Dataset metadata.srt	4.9 KB
4. Preprocessing function.mp4	22.1 MB
4. Preprocessing function.srt	6.2 KB
5. Dataset preprocessing pipeline.mp4	77.6 MB
5. Dataset preprocessing pipeline.srt	10.9 KB
6. What's next.html	2.1 KB
/11. Fashion API with Flask and TensorFlow 2.0/
1. Project Setup.mp4	38.5 MB
1. Project Setup.srt	7.9 KB
1.1 Flask API.zip	381.3 KB
2. Importing project dependencies.mp4	12.5 MB
2. Importing project dependencies.srt	2.6 KB
3. Loading a pre-trained model.mp4	21.5 MB
3. Loading a pre-trained model.srt	4.0 KB
4. Defining the Flask application.mp4	13.0 MB
4. Defining the Flask application.srt	1.8 KB
5. Creating classify function.mp4	55.7 MB
5. Creating classify function.srt	5.7 KB
6. Starting the Flask application.mp4	29.0 MB
6. Starting the Flask application.srt	2.8 KB
7. Sending API requests over internet to the model.mp4	36.7 MB
7. Sending API requests over internet to the model.srt	4.6 KB
/12. Image Classification API with TensorFlow Serving/
1. What is the TensorFlow Serving.mp4	25.7 MB
1. What is the TensorFlow Serving.srt	7.7 KB
10. Sending the POST request to a specific model.mp4	10.1 MB
10. Sending the POST request to a specific model.srt	2.5 KB
2. TensorFlow Serving architecture.mp4	20.5 MB
2. TensorFlow Serving architecture.srt	4.6 KB
3. Project setup.mp4	26.8 MB
3. Project setup.srt	4.7 KB
3.1 Google Colab TensorFlow Serving.html	0.1 KB
4. Dataset preprocessing.mp4	24.9 MB
4. Dataset preprocessing.srt	5.2 KB
5. Defining, training and evaluating a model.mp4	24.5 MB
5. Defining, training and evaluating a model.srt	3.5 KB
6. Saving the model for production.mp4	26.7 MB
6. Saving the model for production.srt	5.4 KB
7. Serving the TensorFlow 2.0 Model.mp4	29.3 MB
7. Serving the TensorFlow 2.0 Model.srt	5.0 KB
8. Creating a JSON object.mp4	24.7 MB
8. Creating a JSON object.srt	3.6 KB
9. Sending the first POST request to the model.mp4	28.7 MB
9. Sending the first POST request to the model.srt	7.3 KB
/13. TensorFlow Lite Prepare a model for a mobile device/
1. What is the TensorFlow Lite.mp4	14.6 MB
1. What is the TensorFlow Lite.srt	5.3 KB
10. What's next.html	2.2 KB
2. Project setup.mp4	8.4 MB
2. Project setup.srt	2.6 KB
2.1 Google Colab TensorFlow Lite.html	0.1 KB
3. Dataset preprocessing.mp4	30.2 MB
3. Dataset preprocessing.srt	4.3 KB
4. Building a model.mp4	15.6 MB
4. Building a model.srt	3.3 KB
5. Training, evaluating the model.mp4	15.9 MB
5. Training, evaluating the model.srt	2.5 KB
6. Saving the model.mp4	9.9 MB
6. Saving the model.srt	2.2 KB
7. TensorFlow Lite Converter.mp4	6.6 MB
7. TensorFlow Lite Converter.srt	1.8 KB
8. Converting the model to a TensorFlow Lite model.mp4	5.2 MB
8. Converting the model to a TensorFlow Lite model.srt	1.5 KB
9. Saving the converted model.mp4	9.1 MB
9. Saving the converted model.srt	2.0 KB
/14. Distributed Training with TensorFlow 2.0/
1. What is the Distributed Training.mp4	11.6 MB
1. What is the Distributed Training.srt	4.4 KB
2. Project Setup.mp4	9.5 MB
2. Project Setup.srt	2.0 KB
2.1 Google Colab Distributed Training.html	0.1 KB
3. Dataset preprocessing.mp4	26.8 MB
3. Dataset preprocessing.srt	5.6 KB
4. Defining a non-distributed model (normal CNN model).mp4	14.7 MB
4. Defining a non-distributed model (normal CNN model).srt	3.8 KB
5. Setting up a distributed strategy.mp4	7.8 MB
5. Setting up a distributed strategy.srt	2.3 KB
6. Defining a distributed model.mp4	13.1 MB
6. Defining a distributed model.srt	2.4 KB
7. Final evaluation - Speed test normal model vs distributed model.mp4	29.8 MB
7. Final evaluation - Speed test normal model vs distributed model.srt	4.5 KB
/15. Annex 1 - Artificial Neural Networks Theory/
1. Plan of Attack.mp4	12.4 MB
1. Plan of Attack.srt	4.1 KB
2. The Neuron.mp4	103.5 MB
2. The Neuron.srt	25.6 KB
3. The Activation Function.mp4	47.5 MB
3. The Activation Function.srt	12.3 KB
4. How do Neural Networks Work.mp4	85.8 MB
4. How do Neural Networks Work.srt	19.5 KB
5. How do Neural Networks Learn.mp4	117.6 MB
5. How do Neural Networks Learn.srt	19.6 KB
6. Gradient Descent.mp4	63.5 MB
6. Gradient Descent.srt	14.4 KB
7. Stochastic Gradient Descent.mp4	70.5 MB
7. Stochastic Gradient Descent.srt	12.6 KB
8. Backpropagation.mp4	45.2 MB
8. Backpropagation.srt	7.5 KB
/16. Annex 2 - Convolutional Neural Networks Theory/
1. Plan of Attack.mp4	16.6 MB
1. Plan of Attack.srt	5.5 KB
2. What are Convolutional Neural Networks.mp4	113.1 MB
2. What are Convolutional Neural Networks.srt	22.6 KB
3. Step 1 - Convolution.mp4	102.6 MB
3. Step 1 - Convolution.srt	23.9 KB
4. Step 1 Bis - ReLU Layer.mp4	56.0 MB
4. Step 1 Bis - ReLU Layer.srt	9.9 KB
5. Step 2 - Max Pooling.mp4	147.0 MB
5. Step 2 - Max Pooling.srt	21.5 KB
6. Step 3 - Flattening.mp4	8.3 MB
6. Step 3 - Flattening.srt	2.7 KB
7. Step 4 - Full Connection.mp4	203.6 MB
7. Step 4 - Full Connection.srt	29.2 KB
8. Summary.mp4	31.8 MB
8. Summary.srt	6.2 KB
9. Softmax & Cross-Entropy.mp4	123.6 MB
9. Softmax & Cross-Entropy.srt	26.3 KB
/17. Annex 3 - Recurrent Neural Networks Theory/
1. Plan of Attack.mp4	11.0 MB
1. Plan of Attack.srt	3.6 KB
2. What are Recurrent Neural Networks.mp4	126.8 MB
2. What are Recurrent Neural Networks.srt	24.9 KB
3. Vanishing Gradient.mp4	116.4 MB
3. Vanishing Gradient.srt	21.0 KB
4. LSTMs.mp4	143.1 MB
4. LSTMs.srt	28.8 KB
5. LSTM Practical Intuition.mp4	196.5 MB
5. LSTM Practical Intuition.srt	21.5 KB
6. LSTM Variations.mp4	21.1 MB
6. LSTM Variations.srt	4.7 KB
/18. Bonus Lectures/
1. SPECIAL COVID-19 BONUS.html	0.7 KB
2. YOUR SPECIAL BONUS.html	1.2 KB
3. FREE LEARNING RESOURCES FOR YOU.html	2.4 KB
/2. TensorFlow 2.0 Basics/
1. From TensorFlow 1.x to TensorFlow 2.0.mp4	120.4 MB
1. From TensorFlow 1.x to TensorFlow 2.0.srt	16.9 KB
1.1 Google Colab TensorFlow 1.x to TensorFlow 2.0.html	0.1 KB
2. Constants, Variables, Tensors.mp4	74.8 MB
2. Constants, Variables, Tensors.srt	13.6 KB
3. Operations with Tensors.mp4	51.6 MB
3. Operations with Tensors.srt	8.6 KB
4. Strings.mp4	42.2 MB
4. Strings.srt	9.0 KB
/3. Artificial Neural Networks/
1. Project Setup.mp4	62.1 MB
1. Project Setup.srt	8.9 KB
1.1 Google Colab ANN.html	0.1 KB
2. Data Preprocessing.mp4	64.8 MB
2. Data Preprocessing.srt	10.8 KB
3. Building the Artificial Neural Network.mp4	63.4 MB
3. Building the Artificial Neural Network.srt	15.6 KB
4. Training the Artificial Neural Network.mp4	50.9 MB
4. Training the Artificial Neural Network.srt	10.6 KB
5. Evaluating the Artificial Neural Network.mp4	33.0 MB
5. Evaluating the Artificial Neural Network.srt	7.0 KB
6. Artificial Neural Network Quiz.html	0.1 KB
7. HOMEWORK Artificial Neural Networks.html	0.5 KB
8. HOMEWORK SOLUTION Artificial Neural Networks.html	0.4 KB
/4. Convolutional Neural Networks/
1. Project Setup & Data Preprocessing.mp4	49.7 MB
1. Project Setup & Data Preprocessing.srt	11.6 KB
1.1 Google Colab CNN.html	0.1 KB
2. Building the Convolutional Neural Network.mp4	92.5 MB
2. Building the Convolutional Neural Network.srt	20.7 KB
3. Training and Evaluating the Convolutional Neural Network.mp4	61.1 MB
3. Training and Evaluating the Convolutional Neural Network.srt	11.3 KB
4. Convolutional Neural Networks Quiz.html	0.1 KB
5. HOMEWORK Convolutional Neural Networks.html	0.5 KB
6. HOMEWORK SOLUTION Convolutional Neural Networks.html	0.6 KB
/5. Recurrent Neural Networks/
1. Project Setup & Data Preprocessing.mp4	48.7 MB
1. Project Setup & Data Preprocessing.srt	10.4 KB
1.1 Google Colab RNN.html	0.1 KB
2. Building the Recurrent Neural Network.mp4	42.0 MB
2. Building the Recurrent Neural Network.srt	9.5 KB
3. Training and Evaluating the Recurrent Neural Network.mp4	51.2 MB
3. Training and Evaluating the Recurrent Neural Network.srt	10.6 KB
4. Recurrent Neural Network Quiz.html	0.1 KB
/6. Transfer Learning and Fine Tuning/
1. What is Transfer Learning.mp4	48.8 MB
1. What is Transfer Learning.srt	6.2 KB
10. Transfer Learning.mp4	17.6 MB
10. Transfer Learning.srt	3.2 KB
11. Evaluating Transfer Learning results.mp4	9.8 MB
11. Evaluating Transfer Learning results.srt	1.7 KB
12. Fine Tuning model definition.mp4	25.8 MB
12. Fine Tuning model definition.srt	4.7 KB
13. Compiling the Fine Tuning model.mp4	6.7 MB
13. Compiling the Fine Tuning model.srt	1.5 KB
14. Fine Tuning.mp4	10.7 MB
14. Fine Tuning.srt	2.7 KB
15. Evaluating Fine Tuning results.mp4	9.4 MB
15. Evaluating Fine Tuning results.srt	1.9 KB
16. Transfer Learning quiz.html	0.1 KB
2. Project Setup.mp4	51.8 MB
2. Project Setup.srt	4.7 KB
2.1 Google Colab Transfer Learning and Fine Tuning.html	0.1 KB
3. Dataset preprocessing.mp4	33.4 MB
3. Dataset preprocessing.srt	6.5 KB
4. Loading the MobileNet V2 model.mp4	18.7 MB
4. Loading the MobileNet V2 model.srt	3.9 KB
5. Freezing the pre-trained model.mp4	6.4 MB
5. Freezing the pre-trained model.srt	1.8 KB
6. Adding a custom head to the pre-trained model.mp4	20.7 MB
6. Adding a custom head to the pre-trained model.srt	4.3 KB
7. Defining the transfer learning model.mp4	13.8 MB
7. Defining the transfer learning model.srt	2.4 KB
8. Compiling the Transfer Learning model.mp4	13.2 MB
8. Compiling the Transfer Learning model.srt	3.6 KB
9. Image Data Generators.mp4	34.1 MB
9. Image Data Generators.srt	6.5 KB
/7. Deep Reinforcement Learning Theory/
1. What is Reinforcement Learning.mp4	71.9 MB
1. What is Reinforcement Learning.srt	18.7 KB
2. The Bellman Equation.mp4	99.7 MB
2. The Bellman Equation.srt	32.0 KB
3. Markov Decision Process (MDP).mp4	98.9 MB
3. Markov Decision Process (MDP).srt	27.7 KB
4. Q-Learning Intuition.mp4	82.9 MB
4. Q-Learning Intuition.srt	22.2 KB
5. Temporal Difference.mp4	101.8 MB
5. Temporal Difference.srt	29.5 KB
6. Deep Q-Learning Intuition - Step 1.mp4	104.8 MB
6. Deep Q-Learning Intuition - Step 1.srt	23.0 KB
7. Deep Q-Learning Intuition - Step 2.mp4	45.2 MB
7. Deep Q-Learning Intuition - Step 2.srt	10.0 KB
8. Experience Replay.mp4	120.3 MB
8. Experience Replay.srt	24.4 KB
9. Action Selection Policies.mp4	143.5 MB
9. Action Selection Policies.srt	24.6 KB
/8. Deep Reinforcement Learning for Stock Market trading/
1. Project Setup.mp4	12.5 MB
1. Project Setup.srt	3.0 KB
1.1 Google Colab Deep-Q Trading Bot.html	0.1 KB
10. Defining the model.mp4	12.4 MB
10. Defining the model.srt	3.3 KB
11. Training loop - Step 1.mp4	29.5 MB
11. Training loop - Step 1.srt	7.1 KB
12. Training loop - Step 2.mp4	56.8 MB
12. Training loop - Step 2.srt	9.9 KB
2. AI Trader - Step 1.mp4	28.5 MB
2. AI Trader - Step 1.srt	7.9 KB
3. AI Trader - Step 2.mp4	12.5 MB
3. AI Trader - Step 2.srt	2.6 KB
4. AI Trader - Step 3.mp4	16.6 MB
4. AI Trader - Step 3.srt	3.0 KB
5. AI Trader - Step 4.mp4	16.7 MB
5. AI Trader - Step 4.srt	3.5 KB
6. AI Trader - Step 5.mp4	34.8 MB
6. AI Trader - Step 5.srt	6.3 KB
7. Dataset Loader function.mp4	40.8 MB
7. Dataset Loader function.srt	8.2 KB
8. State creator function.mp4	33.9 MB
8. State creator function.srt	9.9 KB
8.1 Yahoo finance - APPLE stocks.html	0.1 KB
9. Loading the dataset.mp4	10.5 MB
9. Loading the dataset.srt	1.9 KB
/9. Data Validation with TensorFlow Data Validation (TFDV)/
1. Project Setup.mp4	23.4 MB
1. Project Setup.srt	4.9 KB
1.1 Google Colab TFDV.html	0.1 KB
1.2 pollution_small.csv	74.5 KB
2. Loading the pollution dataset.mp4	26.0 MB
2. Loading the pollution dataset.srt	5.1 KB
3. Creating dataset Schema.mp4	25.3 MB
3. Creating dataset Schema.srt	6.5 KB
4. Computing test set statistics.mp4	2.6 MB
4. Computing test set statistics.srt	0.8 KB
5. Anomaly detection with TensorFlow Data Validation.mp4	25.1 MB
5. Anomaly detection with TensorFlow Data Validation.srt	5.6 KB
6. Preparing Schema for production.mp4	20.7 MB
6. Preparing Schema for production.srt	4.4 KB
7. Saving the Schema.mp4	8.5 MB
7. Saving the Schema.srt	1.9 KB
8. What's next.html	2.0 KB
/
[GigaCourse.com].url	0.0 KB
Total files 281