DesireCourse Net Udemy Complete Guide on TensorFlow using Keras API

DesireCourse Net Udemy Complete Guide on TensorFlow using Keras API

Name	[DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API	DOWNLOAD Copy Link
Total Size	5.5 GB
Total Files	258
Last Seen	2024-11-15 00:02
Hash	B986562338A6C8F0B9959B0A739B5F6388E102C5

/0. Websites you may like/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
/1. Introduction/
1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4.!qB	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
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 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.!qB	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.!qB	38.5 MB
1. Project Setup.srt	7.9 KB
1.1 Flask API.zip	381.3 KB
2. Importing project dependencies.mp4.!qB	12.5 MB
2. Importing project dependencies.srt	2.6 KB
3. Loading a pre-trained model.mp4.!qB	21.5 MB
3. Loading a pre-trained model.srt	4.0 KB
4. Defining the Flask application.mp4.!qB	13.0 MB
4. Defining the Flask application.srt	1.8 KB
5. Creating classify function.mp4.!qB	55.7 MB
5. Creating classify function.srt	5.7 KB
6. Starting the Flask application.mp4.!qB	29.0 MB
6. Starting the Flask application.srt	2.8 KB
7. Sending API requests over internet to the model.mp4.!qB	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.!qB	25.7 MB
1. What is the TensorFlow Serving.srt	7.7 KB
10. Sending the POST request to a specific model.mp4.!qB	10.1 MB
10. Sending the POST request to a specific model.srt	2.5 KB
2. TensorFlow Serving architecture.mp4.!qB	20.5 MB
2. TensorFlow Serving architecture.srt	4.6 KB
3. Project setup.mp4.!qB	26.8 MB
3. Project setup.srt	4.7 KB
3.1 Google Colab TensorFlow Serving.html	0.1 KB
4. Dataset preprocessing.mp4.!qB	24.9 MB
4. Dataset preprocessing.srt	5.2 KB
5. Defining, training and evaluating a model.mp4.!qB	24.5 MB
5. Defining, training and evaluating a model.srt	3.5 KB
6. Saving the model for production.mp4.!qB	26.7 MB
6. Saving the model for production.srt	5.4 KB
7. Serving the TensorFlow 2.0 Model.mp4.!qB	29.3 MB
7. Serving the TensorFlow 2.0 Model.srt	5.0 KB
8. Creating a JSON object.mp4.!qB	24.7 MB
8. Creating a JSON object.srt	3.6 KB
9. Sending the first POST request to the model.mp4.!qB	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.!qB	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.!qB	8.4 MB
2. Project setup.srt	2.6 KB
2.1 Google Colab TensorFlow Lite.html	0.1 KB
3. Dataset preprocessing.mp4.!qB	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.!qB	15.9 MB
5. Training, evaluating the model.srt	2.5 KB
6. Saving the model.mp4.!qB	9.9 MB
6. Saving the model.srt	2.2 KB
7. TensorFlow Lite Converter.mp4.!qB	6.6 MB
7. TensorFlow Lite Converter.srt	1.8 KB
8. Converting the model to a TensorFlow Lite model.mp4.!qB	5.2 MB
8. Converting the model to a TensorFlow Lite model.srt	1.5 KB
9. Saving the converted model.mp4.!qB	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.!qB	11.6 MB
1. What is the Distributed Training.srt	4.4 KB
2. Project Setup.mp4.!qB	9.5 MB
2. Project Setup.srt	2.0 KB
2.1 Google Colab Distributed Training.html	0.1 KB
3. Dataset preprocessing.mp4.!qB	26.8 MB
3. Dataset preprocessing.srt	5.6 KB
4. Defining a non-distributed model (normal CNN model).mp4.!qB	14.7 MB
4. Defining a non-distributed model (normal CNN model).srt	3.8 KB
5. Setting up a distributed strategy.mp4.!qB	7.8 MB
5. Setting up a distributed strategy.srt	2.3 KB
6. Defining a distributed model.mp4.!qB	13.1 MB
6. Defining a distributed model.srt	2.4 KB
7. Final evaluation - Speed test normal model vs distributed model.mp4.!qB	29.8 MB
7. Final evaluation - Speed test normal model vs distributed model.srt	4.5 KB
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
/15. Annex 1 - Artificial Neural Networks Theory/
1. Plan of Attack.mp4.!qB	12.4 MB
1. Plan of Attack.srt	4.1 KB
2. The Neuron.mp4.!qB	103.5 MB
2. The Neuron.srt	25.6 KB
3. The Activation Function.mp4.!qB	47.5 MB
3. The Activation Function.srt	12.3 KB
4. How do Neural Networks Work.mp4.!qB	85.8 MB
4. How do Neural Networks Work.srt	19.5 KB
5. How do Neural Networks Learn.mp4.!qB	117.6 MB
5. How do Neural Networks Learn.srt	19.6 KB
6. Gradient Descent.mp4.!qB	63.5 MB
6. Gradient Descent.srt	14.4 KB
7. Stochastic Gradient Descent.mp4.!qB	70.5 MB
7. Stochastic Gradient Descent.srt	12.6 KB
8. Backpropagation.mp4.!qB	45.2 MB
8. Backpropagation.srt	7.5 KB
/16. Annex 2 - Convolutional Neural Networks Theory/
1. Plan of Attack.mp4.!qB	16.6 MB
1. Plan of Attack.srt	5.5 KB
2. What are Convolutional Neural Networks.mp4.!qB	113.1 MB
2. What are Convolutional Neural Networks.srt	22.6 KB
3. Step 1 - Convolution.mp4.!qB	102.6 MB
3. Step 1 - Convolution.srt	23.9 KB
4. Step 1 Bis - ReLU Layer.mp4.!qB	56.0 MB
4. Step 1 Bis - ReLU Layer.srt	9.9 KB
5. Step 2 - Max Pooling.mp4.!qB	143.9 MB
5. Step 2 - Max Pooling.srt.!qB	21.5 KB
6. Step 3 - Flattening.mp4.!qB	8.3 MB
6. Step 3 - Flattening.srt	2.7 KB
7. Step 4 - Full Connection.mp4.!qB	203.6 MB
7. Step 4 - Full Connection.srt	29.2 KB
8. Summary.mp4.!qB	31.8 MB
8. Summary.srt	6.2 KB
9. Softmax & Cross-Entropy.mp4.!qB	123.6 MB
9. Softmax & Cross-Entropy.srt	26.3 KB
/17. Annex 3 - Recurrent Neural Networks Theory/
1. Plan of Attack.mp4.!qB	11.0 MB
1. Plan of Attack.srt	3.6 KB
2. What are Recurrent Neural Networks.mp4.!qB	126.8 MB
2. What are Recurrent Neural Networks.srt	24.9 KB
3. Vanishing Gradient.mp4.!qB	116.4 MB
3. Vanishing Gradient.srt	21.0 KB
4. LSTMs.mp4.!qB	143.1 MB
4. LSTMs.srt	28.8 KB
5. LSTM Practical Intuition.mp4.!qB	196.5 MB
5. LSTM Practical Intuition.srt	21.5 KB
6. LSTM Variations.mp4.!qB	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.!qB	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.!qB	74.8 MB
2. Constants, Variables, Tensors.srt	13.6 KB
3. Operations with Tensors.mp4.!qB	51.6 MB
3. Operations with Tensors.srt	8.6 KB
4. Strings.mp4.!qB	42.2 MB
4. Strings.srt	9.0 KB
/3. Artificial Neural Networks/
1. Project Setup.mp4.!qB	62.1 MB
1. Project Setup.srt	8.9 KB
1.1 Google Colab ANN.html	0.1 KB
2. Data Preprocessing.mp4.!qB	64.8 MB
2. Data Preprocessing.srt	10.8 KB
3. Building the Artificial Neural Network.mp4.!qB	63.4 MB
3. Building the Artificial Neural Network.srt	15.6 KB
4. Training the Artificial Neural Network.mp4.!qB	50.9 MB
4. Training the Artificial Neural Network.srt	10.6 KB
5. Evaluating the Artificial Neural Network.mp4.!qB	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.!qB	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.!qB	92.5 MB
2. Building the Convolutional Neural Network.srt	20.7 KB
3. Training and Evaluating the Convolutional Neural Network.mp4.!qB	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.!qB	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.!qB	42.0 MB
2. Building the Recurrent Neural Network.srt	9.5 KB
3. Training and Evaluating the Recurrent Neural Network.mp4.!qB	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.!qB	48.8 MB
1. What is Transfer Learning.srt	6.2 KB
10. Transfer Learning.mp4.!qB	17.6 MB
10. Transfer Learning.srt	3.2 KB
11. Evaluating Transfer Learning results.mp4.!qB	9.8 MB
11. Evaluating Transfer Learning results.srt	1.7 KB
12. Fine Tuning model definition.mp4.!qB	25.8 MB
12. Fine Tuning model definition.srt	4.7 KB
13. Compiling the Fine Tuning model.mp4.!qB	6.7 MB
13. Compiling the Fine Tuning model.srt	1.5 KB
14. Fine Tuning.mp4.!qB	10.7 MB
14. Fine Tuning.srt	2.7 KB
15. Evaluating Fine Tuning results.mp4.!qB	9.4 MB
15. Evaluating Fine Tuning results.srt	1.9 KB
16. Transfer Learning quiz.html	0.1 KB
2. Project Setup.mp4.!qB	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.!qB	33.4 MB
3. Dataset preprocessing.srt	6.5 KB
4. Loading the MobileNet V2 model.mp4.!qB	18.7 MB
4. Loading the MobileNet V2 model.srt	3.9 KB
5. Freezing the pre-trained model.mp4.!qB	6.4 MB
5. Freezing the pre-trained model.srt	1.8 KB
6. Adding a custom head to the pre-trained model.mp4.!qB	20.7 MB
6. Adding a custom head to the pre-trained model.srt	4.3 KB
7. Defining the transfer learning model.mp4.!qB	13.8 MB
7. Defining the transfer learning model.srt	2.4 KB
8. Compiling the Transfer Learning model.mp4.!qB	13.2 MB
8. Compiling the Transfer Learning model.srt	3.6 KB
9. Image Data Generators.mp4.!qB	34.1 MB
9. Image Data Generators.srt	6.5 KB
/7. Deep Reinforcement Learning Theory/
1. What is Reinforcement Learning.mp4.!qB	71.9 MB
1. What is Reinforcement Learning.srt	18.7 KB
2. The Bellman Equation.mp4.!qB	99.7 MB
2. The Bellman Equation.srt	32.0 KB
3. Markov Decision Process (MDP).mp4.!qB	98.9 MB
3. Markov Decision Process (MDP).srt	27.7 KB
4. Q-Learning Intuition.mp4.!qB	82.9 MB
4. Q-Learning Intuition.srt	22.2 KB
5. Temporal Difference.mp4.!qB	101.8 MB
5. Temporal Difference.srt	29.5 KB
6. Deep Q-Learning Intuition - Step 1.mp4.!qB	104.3 MB
7. Deep Q-Learning Intuition - Step 2.mp4.!qB	45.2 MB
7. Deep Q-Learning Intuition - Step 2.srt	10.0 KB
8. Experience Replay.mp4.!qB	117.9 MB
9. Action Selection Policies.mp4.!qB	141.3 MB
/8. Deep Reinforcement Learning for Stock Market trading/
1. Project Setup.mp4.!qB	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.!qB	12.4 MB
10. Defining the model.srt	3.3 KB
11. Training loop - Step 1.mp4.!qB	26.3 MB
12. Training loop - Step 2.mp4.!qB	55.5 MB
2. AI Trader - Step 1.mp4.!qB	28.1 MB
3. AI Trader - Step 2.mp4.!qB	10.0 MB
4. AI Trader - Step 3.mp4.!qB	16.4 MB
5. AI Trader - Step 4.mp4.!qB	16.7 MB
5. AI Trader - Step 4.srt	3.5 KB
6. AI Trader - Step 5.mp4.!qB	34.8 MB
6. AI Trader - Step 5.srt	6.3 KB
7. Dataset Loader function.mp4.!qB	35.3 MB
8. State creator function.mp4.!qB	32.3 MB
9. Loading the dataset.mp4.!qB	9.9 MB
/9. Data Validation with TensorFlow Data Validation (TFDV)/
1. Project Setup.mp4.!qB	21.4 MB
2. Loading the pollution dataset.mp4.!qB	25.3 MB
3. Creating dataset Schema.mp4.!qB	25.3 MB
3. Creating dataset Schema.srt	6.5 KB
4. Computing test set statistics.mp4.!qB	2.6 MB
4. Computing test set statistics.srt	0.8 KB
5. Anomaly detection with TensorFlow Data Validation.mp4.!qB	21.7 MB
6. Preparing Schema for production.mp4.!qB	19.6 MB
7. Saving the Schema.mp4.!qB	6.3 MB
Total files 258