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A Practical Guide to Deep Learning with TensorFlow 2.0 and K (25).mp4 179.8 MB
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A Practical Guide to Deep Learning with TensorFlow 2.0 and K (7).mp4 176.3 MB
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A Practical Guide to Deep Learning with TensorFlow 2.0 and K (15).mp4 147.8 MB
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1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
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7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
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10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp4 37.6 MB
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7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
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01 Introduction/002 TensorFlow-Bootcamp.zip 305.2 MB
01 Introduction/003 TensorFlow-Bootcamp.zip 305.2 MB
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09 Miscellaneous Topics/072 Tensorboard.mp4 41.9 MB
10 AutoEncoders/074 Dimensionality Reduction with Linear Autoencoder.mp4 39.4 MB
08 Recurrent Neural Networks/066 Word2Vec Code Along - Part One.mp4 37.3 MB
08 Recurrent Neural Networks/063 Time Series Exercise Solution.mp4 36.8 MB
07 Convolutional Neural Networks/045 MNIST Basic Approach Part Two.mp4 36.6 MB
08 Recurrent Neural Networks/059 RNN with TensorFlow - Part One.mp4 35.7 MB
09 Miscellaneous Topics/070 Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
06 TensorFlow Basics/030 TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
06 TensorFlow Basics/034 TensorFlow Classification Example - Part Two.mp4 33.5 MB
03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB
08 Recurrent Neural Networks/060 RNN with TensorFlow - Part Two.mp4 31.8 MB
06 TensorFlow Basics/031 TensorFlow Regression Example - Part One.mp4 31.5 MB
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07 Project Facial Expression Recognition/026 Convolutional Net in Theano.mp4 54.2 MB
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1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
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8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
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1.TensorFlow Setup and Fundamental Concepts/04.TensorFlow Basics Part 2 - Graphs and Sessions.mp4 105.6 MB
1.TensorFlow Setup and Fundamental Concepts/05.TensorFlow Basics Part 3 - Training, Saving, and Restoring.mp4 103.9 MB
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4.Tips and Tricks/15.TensorBoard.mp4 64.3 MB
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1.TensorFlow Setup and Fundamental Concepts/01.The Course Overview.mp4 53.0 MB
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- 【影视】 [GigaCourse.com] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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收录时间:2020-03-22
文档个数:247
文档大小:7.5 GB
最近下载:2025-02-18
人气:3270
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18. Setting up your Environment/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Setting up your Environment/3. Installing NVIDIA GPU-Accelerated Deep Learning Libraries on your Home Computer.mp4 175.4 MB
18. Setting up your Environment/1. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
19. Appendix FAQ/9. What order should I take your courses in (part 2).mp4 128.6 MB
19. Appendix FAQ/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
19. Appendix FAQ/8. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
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- 【影视】 Lynda Building and Deploying Deep Learning Applications with TensorFlow
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收录时间:2020-03-26
文档个数:87
文档大小:287.7 MB
最近下载:2025-02-17
人气:6035
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4. 3. Creating a TensorFlow Model/13. Define the model structure.mp4 28.5 MB
5. 4. Training a Model in TensorFlow/16. Log.mp4 26.2 MB
4. 3. Creating a TensorFlow Model/12. Load the data set.mp4 24.4 MB
2. 1. Setting Up TensorFlow/05. Install TensorFlow on Windows.mp4 20.5 MB
7. 6. Using a Trained TensorFlow/21. Export models for use in production.mp4 17.0 MB
6. 5. TensorBoard/19. Visualize training runs.mp4 16.5 MB
6. 5. TensorBoard/18. Visualize the computational graph.mp4 14.8 MB
7. 6. Using a Trained TensorFlow/23. Host your model in the cloud with Google Cloud.mp4 13.9 MB
5. 4. Training a Model in TensorFlow/15. Train.mp4 13.3 MB
7. 6. Using a Trained TensorFlow/24. Use a model in the cloud.mp4 12.3 MB
2. 1. Setting Up TensorFlow/04. Install TensorFlow on macOS.mp4 11.5 MB
3. 2. TensorFlow Overview/10. Build a simple model in TensorFlow.mp4 11.1 MB
6. 5. TensorBoard/20. Add custom visualizations to TensorBoard.mp4 10.4 MB
4. 3. Creating a TensorFlow Model/14. Set up the model training loop.mp4 9.9 MB
3. 2. TensorFlow Overview/09. The train_test_evaluation flow in TensorFlow.mp4 9.8 MB
5. 4. Training a Model in TensorFlow/17. Save and load trained models.mp4 9.7 MB
7. 6. Using a Trained TensorFlow/22. Configure a new Google Cloud account.mp4 9.6 MB
4. 3. Creating a TensorFlow Model/11. Options for loading data.mp4 7.4 MB
1. Introduction/01. Welcome.mp4 5.0 MB
3. 2. TensorFlow Overview/08. Hardware, software, and language requirements.mp4 5.0 MB
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- 【影视】 [DesireCourse.Net] Udemy - Tensorflow 2.0 Deep Learning and Artificial Intelligence
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收录时间:2020-03-28
文档个数:246
文档大小:7.2 GB
最近下载:2025-02-08
人气:284
磁力链接
18. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 203.4 MB
18. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 174.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/12. Demo of the Long Distance Problem.mp4 150.1 MB
13. Advanced Tensorflow Usage/2. Tensorflow Serving pt 2.mp4 130.5 MB
18. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 128.6 MB
18. Appendix FAQ/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 122.8 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/1. Sequence Data.mp4 108.2 MB
11. Deep Reinforcement Learning (Theory)/2. Elements of a Reinforcement Learning Problem.mp4 102.5 MB
4. Feedforward Artificial Neural Networks/4. Activation Functions.mp4 96.6 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/5. Recurrent Neural Networks.mp4 96.5 MB
5. Convolutional Neural Networks/5. CNN Architecture.mp4 95.4 MB
2. Google Colab/3. Uploading your own data to Google Colab.mp4 93.4 MB
18. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 92.4 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/3. Autoregressive Linear Model for Time Series Prediction.mp4 91.9 MB
6. Recurrent Neural Networks, Time Series, and Sequence Data/7. RNN for Time Series Prediction.mp4 91.5 MB
10. GANs (Generative Adversarial Networks)/1. GAN Theory.mp4 90.7 MB
5. Convolutional Neural Networks/11. Improving CIFAR-10 Results.mp4 90.5 MB
5. Convolutional Neural Networks/6. CNN Code Preparation.mp4 90.5 MB
4. Feedforward Artificial Neural Networks/9. ANN for Regression.mp4 88.0 MB
5. Convolutional Neural Networks/1. What is Convolution (part 1).mp4 87.6 MB
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- 【影视】 Deep learning with TensorFlow [Video]
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收录时间:2020-03-28
文档个数:76
文档大小:469.0 MB
最近下载:2022-09-21
人气:26
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19-skflow.mp4 36.1 MB
18-Introducing Recurrent Neural Networks.mp4 34.9 MB
04-Logistic Regression Model Building.mp4 27.1 MB
21-Research Evaluation.mp4 27.0 MB
12-Convolutional Layer Application.mp4 26.9 MB
15-Deep CNN.mp4 25.2 MB
02-Installing TensorFlow.mp4 21.5 MB
03-Simple Computations.mp4 21.4 MB
09-Multiple Hidden Layer Model.mp4 20.8 MB
06-Basic Neural Nets.mp4 20.3 MB
07-Single Hidden Layer Model.mp4 19.8 MB
05-Logistic Regression Training.mp4 19.2 MB
17-Wrapping Up Deep CNN.mp4 19.2 MB
10-Multiple Hidden Layer Results.mp4 18.2 MB
08-Single Hidden Layer Explained.mp4 17.9 MB
14-Pooling Layer Application.mp4 16.8 MB
16-Deeper CNN.mp4 16.3 MB
20-RNNs in skflow.mp4 15.7 MB
11-Convolutional Layer Motivation.mp4 13.4 MB
01-The Course Overview.mp4 11.6 MB
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