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[DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
magnet:?xt=urn:btih:266ea4807e0b3d423cd2e01e61d5afd8cb483444&dn=[DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
磁力链接详情
Hash值:
266ea4807e0b3d423cd2e01e61d5afd8cb483444
点击数:
198
文件大小:
5.12 GB
文件数量:
120
创建日期:
2020-10-1 10:55
最后访问:
2024-9-21 00:44
访问标签:
DesireCourse
Net
Udemy
-
A
Complete
Guide
on
TensorFlow
2
0
using
Keras
API
文件列表详情
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4 146.28 MB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/1. Project Setup.mp4 10.06 MB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/2. Initial dataset preprocessing.mp4 34.99 MB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/3. Dataset metadata.mp4 20.93 MB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/4. Preprocessing function.mp4 21.11 MB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/5. Dataset preprocessing pipeline.mp4 73.97 MB
11. Fashion API with Flask and TensorFlow 2.0/1. Project Setup.mp4 36.75 MB
11. Fashion API with Flask and TensorFlow 2.0/2. Importing project dependencies.mp4 11.9 MB
11. Fashion API with Flask and TensorFlow 2.0/3. Loading a pre-trained model.mp4 20.48 MB
11. Fashion API with Flask and TensorFlow 2.0/4. Defining the Flask application.mp4 12.38 MB
11. Fashion API with Flask and TensorFlow 2.0/5. Creating classify function.mp4 53.14 MB
11. Fashion API with Flask and TensorFlow 2.0/6. Starting the Flask application.mp4 27.63 MB
11. Fashion API with Flask and TensorFlow 2.0/7. Sending API requests over internet to the model.mp4 35.01 MB
12. Image Classification API with TensorFlow Serving/1. What is the TensorFlow Serving.mp4 24.47 MB
12. Image Classification API with TensorFlow Serving/10. Sending the POST request to a specific model.mp4 9.64 MB
12. Image Classification API with TensorFlow Serving/2. TensorFlow Serving architecture.mp4 19.5 MB
12. Image Classification API with TensorFlow Serving/3. Project setup.mp4 25.53 MB
12. Image Classification API with TensorFlow Serving/4. Dataset preprocessing.mp4 23.72 MB
12. Image Classification API with TensorFlow Serving/5. Defining, training and evaluating a model.mp4 23.34 MB
12. Image Classification API with TensorFlow Serving/6. Saving the model for production.mp4 25.44 MB
12. Image Classification API with TensorFlow Serving/7. Serving the TensorFlow 2.0 Model.mp4 27.9 MB
12. Image Classification API with TensorFlow Serving/8. Creating a JSON object.mp4 23.59 MB
12. Image Classification API with TensorFlow Serving/9. Sending the first POST request to the model.mp4 27.31 MB
13. TensorFlow Lite Prepare a model for a mobile device/1. What is the TensorFlow Lite.mp4 13.96 MB
13. TensorFlow Lite Prepare a model for a mobile device/2. Project setup.mp4 8.04 MB
13. TensorFlow Lite Prepare a model for a mobile device/3. Dataset preprocessing.mp4 28.76 MB
13. TensorFlow Lite Prepare a model for a mobile device/4. Building a model.mp4 14.85 MB
13. TensorFlow Lite Prepare a model for a mobile device/5. Training, evaluating the model.mp4 15.2 MB
13. TensorFlow Lite Prepare a model for a mobile device/6. Saving the model.mp4 9.4 MB
13. TensorFlow Lite Prepare a model for a mobile device/7. TensorFlow Lite Converter.mp4 6.29 MB
13. TensorFlow Lite Prepare a model for a mobile device/8. Converting the model to a TensorFlow Lite model.mp4 4.92 MB
13. TensorFlow Lite Prepare a model for a mobile device/9. Saving the converted model.mp4 8.68 MB
14. Distributed Training with TensorFlow 2.0/1. What is the Distributed Training.mp4 11.08 MB
14. Distributed Training with TensorFlow 2.0/2. Project Setup.mp4 9.09 MB
14. Distributed Training with TensorFlow 2.0/3. Dataset preprocessing.mp4 25.59 MB
14. Distributed Training with TensorFlow 2.0/4. Defining a non-distributed model (normal CNN model).mp4 14.04 MB
14. Distributed Training with TensorFlow 2.0/5. Setting up a distributed strategy.mp4 7.4 MB
14. Distributed Training with TensorFlow 2.0/6. Defining a distributed model.mp4 12.5 MB
14. Distributed Training with TensorFlow 2.0/7. Final evaluation - Speed test normal model vs distributed model.mp4 28.42 MB
15. Annex 1 - Artificial Neural Networks Theory/1. Plan of Attack.mp4 11.84 MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4 98.69 MB
15. Annex 1 - Artificial Neural Networks Theory/3. The Activation Function.mp4 45.34 MB
15. Annex 1 - Artificial Neural Networks Theory/4. How do Neural Networks Work.mp4 81.81 MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4 112.16 MB
15. Annex 1 - Artificial Neural Networks Theory/6. Gradient Descent.mp4 60.57 MB
15. Annex 1 - Artificial Neural Networks Theory/7. Stochastic Gradient Descent.mp4 67.24 MB
15. Annex 1 - Artificial Neural Networks Theory/8. Backpropagation.mp4 43.12 MB
16. Annex 2 - Convolutional Neural Networks Theory/1. Plan of Attack.mp4 15.79 MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4 107.88 MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4 97.85 MB
16. Annex 2 - Convolutional Neural Networks Theory/4. Step 1 Bis - ReLU Layer.mp4 53.36 MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4 140.21 MB
16. Annex 2 - Convolutional Neural Networks Theory/6. Step 3 - Flattening.mp4 7.93 MB
16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4 194.14 MB
16. Annex 2 - Convolutional Neural Networks Theory/8. Summary.mp4 30.33 MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4 117.84 MB
17. Annex 3 - Recurrent Neural Networks Theory/1. Plan of Attack.mp4 10.48 MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4 120.95 MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4 110.99 MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4 136.43 MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4 187.42 MB
17. Annex 3 - Recurrent Neural Networks Theory/6. LSTM Variations.mp4 20.14 MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4 114.8 MB
2. TensorFlow 2.0 Basics/2. Constants, Variables, Tensors.mp4 71.34 MB
2. TensorFlow 2.0 Basics/3. Operations with Tensors.mp4 49.26 MB
2. TensorFlow 2.0 Basics/4. Strings.mp4 40.24 MB
3. Artificial Neural Networks/1. Project Setup.mp4 59.25 MB
3. Artificial Neural Networks/2. Data Preprocessing.mp4 61.77 MB
3. Artificial Neural Networks/3. Building the Artificial Neural Network.mp4 60.43 MB
3. Artificial Neural Networks/4. Training the Artificial Neural Network.mp4 48.51 MB
3. Artificial Neural Networks/5. Evaluating the Artificial Neural Network.mp4 31.44 MB
4. Convolutional Neural Networks/1. Project Setup & Data Preprocessing.mp4 47.37 MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4 88.19 MB
4. Convolutional Neural Networks/3. Training and Evaluating the Convolutional Neural Network.mp4 58.24 MB
5. Recurrent Neural Networks/1. Project Setup & Data Preprocessing.mp4 46.44 MB
5. Recurrent Neural Networks/2. Building the Recurrent Neural Network.mp4 40.04 MB
5. Recurrent Neural Networks/3. Training and Evaluating the Recurrent Neural Network.mp4 48.88 MB
6. Transfer Learning and Fine Tuning/1. What is Transfer Learning.mp4 46.49 MB
6. Transfer Learning and Fine Tuning/10. Transfer Learning.mp4 16.82 MB
6. Transfer Learning and Fine Tuning/11. Evaluating Transfer Learning results.mp4 9.36 MB
6. Transfer Learning and Fine Tuning/12. Fine Tuning model definition.mp4 24.59 MB
6. Transfer Learning and Fine Tuning/13. Compiling the Fine Tuning model.mp4 6.42 MB
6. Transfer Learning and Fine Tuning/14. Fine Tuning.mp4 10.17 MB
6. Transfer Learning and Fine Tuning/15. Evaluating Fine Tuning results.mp4 9 MB
6. Transfer Learning and Fine Tuning/2. Project Setup.mp4 49.38 MB
6. Transfer Learning and Fine Tuning/3. Dataset preprocessing.mp4 31.84 MB
6. Transfer Learning and Fine Tuning/4. Loading the MobileNet V2 model.mp4 17.83 MB
6. Transfer Learning and Fine Tuning/5. Freezing the pre-trained model.mp4 6.08 MB
6. Transfer Learning and Fine Tuning/6. Adding a custom head to the pre-trained model.mp4 19.69 MB
6. Transfer Learning and Fine Tuning/7. Defining the transfer learning model.mp4 13.19 MB
6. Transfer Learning and Fine Tuning/8. Compiling the Transfer Learning model.mp4 12.59 MB
6. Transfer Learning and Fine Tuning/9. Image Data Generators.mp4 32.56 MB
7. Deep Reinforcement Learning Theory/1. What is Reinforcement Learning.mp4 68.55 MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4 95.06 MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4 94.29 MB
7. Deep Reinforcement Learning Theory/4. Q-Learning Intuition.mp4 79.07 MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4 97.11 MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4 99.93 MB
7. Deep Reinforcement Learning Theory/7. Deep Q-Learning Intuition - Step 2.mp4 43.07 MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4 114.74 MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4 136.85 MB
8. Deep Reinforcement Learning for Stock Market trading/1. Project Setup.mp4 11.89 MB
8. Deep Reinforcement Learning for Stock Market trading/10. Defining the model.mp4 11.86 MB
8. Deep Reinforcement Learning for Stock Market trading/11. Training loop - Step 1.mp4 28.12 MB
8. Deep Reinforcement Learning for Stock Market trading/12. Training loop - Step 2.mp4 54.19 MB
8. Deep Reinforcement Learning for Stock Market trading/2. AI Trader - Step 1.mp4 27.19 MB
8. Deep Reinforcement Learning for Stock Market trading/3. AI Trader - Step 2.mp4 11.9 MB
8. Deep Reinforcement Learning for Stock Market trading/4. AI Trader - Step 3.mp4 15.83 MB
8. Deep Reinforcement Learning for Stock Market trading/5. AI Trader - Step 4.mp4 15.92 MB
8. Deep Reinforcement Learning for Stock Market trading/6. AI Trader - Step 5.mp4 33.2 MB
8. Deep Reinforcement Learning for Stock Market trading/7. Dataset Loader function.mp4 38.88 MB
8. Deep Reinforcement Learning for Stock Market trading/8. State creator function.mp4 32.31 MB
8. Deep Reinforcement Learning for Stock Market trading/9. Loading the dataset.mp4 10.03 MB
9. Data Validation with TensorFlow Data Validation (TFDV)/1. Project Setup.mp4 22.28 MB
9. Data Validation with TensorFlow Data Validation (TFDV)/2. Loading the pollution dataset.mp4 24.85 MB
9. Data Validation with TensorFlow Data Validation (TFDV)/3. Creating dataset Schema.mp4 24.1 MB
9. Data Validation with TensorFlow Data Validation (TFDV)/4. Computing test set statistics.mp4 2.45 MB
9. Data Validation with TensorFlow Data Validation (TFDV)/5. Anomaly detection with TensorFlow Data Validation.mp4 23.95 MB
9. Data Validation with TensorFlow Data Validation (TFDV)/6. Preparing Schema for production.mp4 19.71 MB
9. Data Validation with TensorFlow Data Validation (TFDV)/7. Saving the Schema.mp4 8.1 MB
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