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[DesireCourse.Net] Udemy - A Complete Guide on TensorFlow 2.0 using Keras API
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2020-6-20 14:05
2024-12-22 22:10
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DesireCourse
Net
Udemy
-
A
Complete
Guide
on
TensorFlow
2
0
using
Keras
API
文件列表
1. Introduction/1. Welcome to the TensorFlow 2.0 course! Discover its structure and the TF toolkit..mp4
146.29MB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/1. Project Setup.mp4
10.06MB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/2. Initial dataset preprocessing.mp4
34.99MB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/3. Dataset metadata.mp4
20.93MB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/4. Preprocessing function.mp4
21.12MB
10. Dataset Preprocessing with TensorFlow Transform (TFT)/5. Dataset preprocessing pipeline.mp4
73.96MB
11. Fashion API with Flask and TensorFlow 2.0/1. Project Setup.mp4
36.74MB
11. Fashion API with Flask and TensorFlow 2.0/2. Importing project dependencies.mp4
11.91MB
11. Fashion API with Flask and TensorFlow 2.0/3. Loading a pre-trained model.mp4
20.49MB
11. Fashion API with Flask and TensorFlow 2.0/4. Defining the Flask application.mp4
12.38MB
11. Fashion API with Flask and TensorFlow 2.0/5. Creating classify function.mp4
53.14MB
11. Fashion API with Flask and TensorFlow 2.0/6. Starting the Flask application.mp4
27.62MB
11. Fashion API with Flask and TensorFlow 2.0/7. Sending API requests over internet to the model.mp4
35.02MB
12. Image Classification API with TensorFlow Serving/1. What is the TensorFlow Serving.mp4
24.47MB
12. Image Classification API with TensorFlow Serving/10. Sending the POST request to a specific model.mp4
9.64MB
12. Image Classification API with TensorFlow Serving/2. TensorFlow Serving architecture.mp4
19.51MB
12. Image Classification API with TensorFlow Serving/3. Project setup.mp4
25.53MB
12. Image Classification API with TensorFlow Serving/4. Dataset preprocessing.mp4
23.72MB
12. Image Classification API with TensorFlow Serving/5. Defining, training and evaluating a model.mp4
23.33MB
12. Image Classification API with TensorFlow Serving/6. Saving the model for production.mp4
25.43MB
12. Image Classification API with TensorFlow Serving/7. Serving the TensorFlow 2.0 Model.mp4
27.91MB
12. Image Classification API with TensorFlow Serving/8. Creating a JSON object.mp4
23.59MB
12. Image Classification API with TensorFlow Serving/9. Sending the first POST request to the model.mp4
27.32MB
13. TensorFlow Lite Prepare a model for a mobile device/1. What is the TensorFlow Lite.mp4
13.97MB
13. TensorFlow Lite Prepare a model for a mobile device/2. Project setup.mp4
8.05MB
13. TensorFlow Lite Prepare a model for a mobile device/3. Dataset preprocessing.mp4
28.77MB
13. TensorFlow Lite Prepare a model for a mobile device/4. Building a model.mp4
14.84MB
13. TensorFlow Lite Prepare a model for a mobile device/5. Training, evaluating the model.mp4
15.2MB
13. TensorFlow Lite Prepare a model for a mobile device/6. Saving the model.mp4
9.41MB
13. TensorFlow Lite Prepare a model for a mobile device/7. TensorFlow Lite Converter.mp4
6.29MB
13. TensorFlow Lite Prepare a model for a mobile device/8. Converting the model to a TensorFlow Lite model.mp4
4.93MB
13. TensorFlow Lite Prepare a model for a mobile device/9. Saving the converted model.mp4
8.68MB
14. Distributed Training with TensorFlow 2.0/1. What is the Distributed Training.mp4
11.09MB
14. Distributed Training with TensorFlow 2.0/2. Project Setup.mp4
9.08MB
14. Distributed Training with TensorFlow 2.0/3. Dataset preprocessing.mp4
25.59MB
14. Distributed Training with TensorFlow 2.0/4. Defining a non-distributed model (normal CNN model).mp4
14.05MB
14. Distributed Training with TensorFlow 2.0/5. Setting up a distributed strategy.mp4
7.4MB
14. Distributed Training with TensorFlow 2.0/6. Defining a distributed model.mp4
12.49MB
14. Distributed Training with TensorFlow 2.0/7. Final evaluation - Speed test normal model vs distributed model.mp4
28.42MB
15. Annex 1 - Artificial Neural Networks Theory/1. Plan of Attack.mp4
11.83MB
15. Annex 1 - Artificial Neural Networks Theory/2. The Neuron.mp4
98.69MB
15. Annex 1 - Artificial Neural Networks Theory/3. The Activation Function.mp4
45.33MB
15. Annex 1 - Artificial Neural Networks Theory/4. How do Neural Networks Work.mp4
81.81MB
15. Annex 1 - Artificial Neural Networks Theory/5. How do Neural Networks Learn.mp4
112.16MB
15. Annex 1 - Artificial Neural Networks Theory/6. Gradient Descent.mp4
60.57MB
15. Annex 1 - Artificial Neural Networks Theory/7. Stochastic Gradient Descent.mp4
67.24MB
15. Annex 1 - Artificial Neural Networks Theory/8. Backpropagation.mp4
43.13MB
16. Annex 2 - Convolutional Neural Networks Theory/1. Plan of Attack.mp4
15.79MB
16. Annex 2 - Convolutional Neural Networks Theory/2. What are Convolutional Neural Networks.mp4
107.87MB
16. Annex 2 - Convolutional Neural Networks Theory/3. Step 1 - Convolution.mp4
97.84MB
16. Annex 2 - Convolutional Neural Networks Theory/4. Step 1 Bis - ReLU Layer.mp4
53.37MB
16. Annex 2 - Convolutional Neural Networks Theory/5. Step 2 - Max Pooling.mp4
140.21MB
16. Annex 2 - Convolutional Neural Networks Theory/6. Step 3 - Flattening.mp4
7.92MB
16. Annex 2 - Convolutional Neural Networks Theory/7. Step 4 - Full Connection.mp4
194.15MB
16. Annex 2 - Convolutional Neural Networks Theory/8. Summary.mp4
30.32MB
16. Annex 2 - Convolutional Neural Networks Theory/9. Softmax & Cross-Entropy.mp4
117.84MB
17. Annex 3 - Recurrent Neural Networks Theory/1. Plan of Attack.mp4
10.48MB
17. Annex 3 - Recurrent Neural Networks Theory/2. What are Recurrent Neural Networks.mp4
120.95MB
17. Annex 3 - Recurrent Neural Networks Theory/3. Vanishing Gradient.mp4
111MB
17. Annex 3 - Recurrent Neural Networks Theory/4. LSTMs.mp4
136.42MB
17. Annex 3 - Recurrent Neural Networks Theory/5. LSTM Practical Intuition.mp4
187.41MB
17. Annex 3 - Recurrent Neural Networks Theory/6. LSTM Variations.mp4
20.13MB
2. TensorFlow 2.0 Basics/1. From TensorFlow 1.x to TensorFlow 2.0.mp4
114.8MB
2. TensorFlow 2.0 Basics/2. Constants, Variables, Tensors.mp4
71.34MB
2. TensorFlow 2.0 Basics/3. Operations with Tensors.mp4
49.26MB
2. TensorFlow 2.0 Basics/4. Strings.mp4
40.24MB
3. Artificial Neural Networks/1. Project Setup.mp4
59.26MB
3. Artificial Neural Networks/2. Data Preprocessing.mp4
61.77MB
3. Artificial Neural Networks/3. Building the Artificial Neural Network.mp4
60.44MB
3. Artificial Neural Networks/4. Training the Artificial Neural Network.mp4
48.52MB
3. Artificial Neural Networks/5. Evaluating the Artificial Neural Network.mp4
31.45MB
4. Convolutional Neural Networks/1. Project Setup & Data Preprocessing.mp4
47.37MB
4. Convolutional Neural Networks/2. Building the Convolutional Neural Network.mp4
88.18MB
4. Convolutional Neural Networks/3. Training and Evaluating the Convolutional Neural Network.mp4
58.24MB
5. Recurrent Neural Networks/1. Project Setup & Data Preprocessing.mp4
46.44MB
5. Recurrent Neural Networks/2. Building the Recurrent Neural Network.mp4
40.03MB
5. Recurrent Neural Networks/3. Training and Evaluating the Recurrent Neural Network.mp4
48.87MB
6. Transfer Learning and Fine Tuning/1. What is Transfer Learning.mp4
46.49MB
6. Transfer Learning and Fine Tuning/10. Transfer Learning.mp4
16.83MB
6. Transfer Learning and Fine Tuning/11. Evaluating Transfer Learning results.mp4
9.37MB
6. Transfer Learning and Fine Tuning/12. Fine Tuning model definition.mp4
24.6MB
6. Transfer Learning and Fine Tuning/13. Compiling the Fine Tuning model.mp4
6.41MB
6. Transfer Learning and Fine Tuning/14. Fine Tuning.mp4
10.18MB
6. Transfer Learning and Fine Tuning/15. Evaluating Fine Tuning results.mp4
9.01MB
6. Transfer Learning and Fine Tuning/2. Project Setup.mp4
49.38MB
6. Transfer Learning and Fine Tuning/3. Dataset preprocessing.mp4
31.84MB
6. Transfer Learning and Fine Tuning/4. Loading the MobileNet V2 model.mp4
17.84MB
6. Transfer Learning and Fine Tuning/5. Freezing the pre-trained model.mp4
6.07MB
6. Transfer Learning and Fine Tuning/6. Adding a custom head to the pre-trained model.mp4
19.69MB
6. Transfer Learning and Fine Tuning/7. Defining the transfer learning model.mp4
13.2MB
6. Transfer Learning and Fine Tuning/8. Compiling the Transfer Learning model.mp4
12.59MB
6. Transfer Learning and Fine Tuning/9. Image Data Generators.mp4
32.56MB
7. Deep Reinforcement Learning Theory/1. What is Reinforcement Learning.mp4
68.54MB
7. Deep Reinforcement Learning Theory/2. The Bellman Equation.mp4
95.06MB
7. Deep Reinforcement Learning Theory/3. Markov Decision Process (MDP).mp4
94.29MB
7. Deep Reinforcement Learning Theory/4. Q-Learning Intuition.mp4
79.08MB
7. Deep Reinforcement Learning Theory/5. Temporal Difference.mp4
97.1MB
7. Deep Reinforcement Learning Theory/6. Deep Q-Learning Intuition - Step 1.mp4
99.92MB
7. Deep Reinforcement Learning Theory/7. Deep Q-Learning Intuition - Step 2.mp4
43.07MB
7. Deep Reinforcement Learning Theory/8. Experience Replay.mp4
114.74MB
7. Deep Reinforcement Learning Theory/9. Action Selection Policies.mp4
136.84MB
8. Deep Reinforcement Learning for Stock Market trading/1. Project Setup.mp4
11.89MB
8. Deep Reinforcement Learning for Stock Market trading/10. Defining the model.mp4
11.87MB
8. Deep Reinforcement Learning for Stock Market trading/11. Training loop - Step 1.mp4
28.12MB
8. Deep Reinforcement Learning for Stock Market trading/12. Training loop - Step 2.mp4
54.18MB
8. Deep Reinforcement Learning for Stock Market trading/2. AI Trader - Step 1.mp4
27.2MB
8. Deep Reinforcement Learning for Stock Market trading/3. AI Trader - Step 2.mp4
11.9MB
8. Deep Reinforcement Learning for Stock Market trading/4. AI Trader - Step 3.mp4
15.84MB
8. Deep Reinforcement Learning for Stock Market trading/5. AI Trader - Step 4.mp4
15.92MB
8. Deep Reinforcement Learning for Stock Market trading/6. AI Trader - Step 5.mp4
33.2MB
8. Deep Reinforcement Learning for Stock Market trading/7. Dataset Loader function.mp4
38.89MB
8. Deep Reinforcement Learning for Stock Market trading/8. State creator function.mp4
32.32MB
8. Deep Reinforcement Learning for Stock Market trading/9. Loading the dataset.mp4
10.03MB
9. Data Validation with TensorFlow Data Validation (TFDV)/1. Project Setup.mp4
22.28MB
9. Data Validation with TensorFlow Data Validation (TFDV)/2. Loading the pollution dataset.mp4
24.84MB
9. Data Validation with TensorFlow Data Validation (TFDV)/3. Creating dataset Schema.mp4
24.09MB
9. Data Validation with TensorFlow Data Validation (TFDV)/4. Computing test set statistics.mp4
2.45MB
9. Data Validation with TensorFlow Data Validation (TFDV)/5. Anomaly detection with TensorFlow Data Validation.mp4
23.96MB
9. Data Validation with TensorFlow Data Validation (TFDV)/6. Preparing Schema for production.mp4
19.71MB
9. Data Validation with TensorFlow Data Validation (TFDV)/7. Saving the Schema.mp4
8.1MB
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