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种子名称： [Udemy] Complete Guide to TensorFlow for Deep Learning with Python (2020) [En]
文件类型： 视频
文件数目： 89个文件
文件大小： 1.67 GB
收录时间： 2023-1-22 18:36
已经下载： 3次
资源热度： 266
最近下载： 2024-6-17 17:28

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[Udemy] Complete Guide to TensorFlow for Deep Learning with Python (2020) [En].torrent

1. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp416.38MB

1. Introduction/1. Introduction.mp411.95MB

2. Installation and Setup/2. Installing TensorFlow and Environment Setup.mp427.83MB

3. What is Machine Learning/1. Machine Learning Overview.mp430.44MB

4. Crash Course Overview/1. Crash Course Section Introduction.mp42.15MB

4. Crash Course Overview/2. NumPy Crash Course.mp432.51MB

4. Crash Course Overview/3. Pandas Crash Course.mp49.02MB

4. Crash Course Overview/4. Data Visualization Crash Course.mp419.52MB

4. Crash Course Overview/5. SciKit Learn Preprocessing Overview.mp420.3MB

4. Crash Course Overview/6. Crash Course Review Exercise.mp47.66MB

4. Crash Course Overview/7. Crash Course Review Exercise - Solutions.mp417.39MB

5. Introduction to Neural Networks/1. Introduction to Neural Networks.mp41.59MB

5. Introduction to Neural Networks/2. Introduction to Perceptron.mp46.79MB

5. Introduction to Neural Networks/3. Neural Network Activation Functions.mp48.62MB

5. Introduction to Neural Networks/4. Cost Functions.mp44.99MB

5. Introduction to Neural Networks/5. Gradient Descent Backpropagation.mp44.6MB

5. Introduction to Neural Networks/6. TensorFlow Playground.mp427.22MB

5. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.mp412.54MB

5. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.mp411.42MB

5. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp413.26MB

5. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.mp425.17MB

5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp440.53MB

6. TensorFlow Basics/1. Introduction to TensorFlow.mp41.97MB

6. TensorFlow Basics/2. TensorFlow Basic Syntax.mp419MB

6. TensorFlow Basics/3. TensorFlow Graphs.mp48.55MB

6. TensorFlow Basics/4. Variables and Placeholders.mp412.84MB

6. TensorFlow Basics/5. TensorFlow - A Neural Network - Part One.mp411.64MB

6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp432.52MB

6. TensorFlow Basics/7. TensorFlow Regression Example - Part One.mp430.06MB

6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp457.8MB

6. TensorFlow Basics/9. TensorFlow Classification Example - Part One.mp423.76MB

6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp431.95MB

6. TensorFlow Basics/11. TF Regression Exercise.mp47.97MB

6. TensorFlow Basics/12. TF Regression Exercise Solution Walkthrough.mp427.77MB

6. TensorFlow Basics/13. TF Classification Exercise.mp48.96MB

6. TensorFlow Basics/14. TF Classification Exercise Solution Walkthrough.mp421.72MB

6. TensorFlow Basics/15. Saving and Restoring Models.mp415.44MB

7. Convolutional Neural Networks/1. Introduction to Convolutional Neural Network Section.mp41.17MB

7. Convolutional Neural Networks/2. Review of Neural Networks.mp43.39MB

7. Convolutional Neural Networks/3. New Theory Topics.mp419.71MB

7. Convolutional Neural Networks/5. MNIST Data Overview.mp46.58MB

7. Convolutional Neural Networks/6. MNIST Basic Approach Part One.mp412.12MB

7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp434.94MB

7. Convolutional Neural Networks/8. CNN Theory Part One.mp426.58MB

7. Convolutional Neural Networks/9. CNN Theory Part Two.mp46.56MB

7. Convolutional Neural Networks/10. CNN MNIST Code Along - Part One.mp426.21MB

7. Convolutional Neural Networks/11. CNN MNIST Code Along - Part Two.mp49.65MB

7. Convolutional Neural Networks/12. Introduction to CNN Project.mp416.06MB

7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp450.15MB

7. Convolutional Neural Networks/14. CNN Project Exercise Solution - Part Two.mp427.01MB

8. Recurrent Neural Networks/1. Introduction to RNN Section.mp41.57MB

8. Recurrent Neural Networks/2. RNN Theory.mp410.28MB

8. Recurrent Neural Networks/3. Manual Creation of RNN.mp416.64MB

8. Recurrent Neural Networks/4. Vanishing Gradients.mp46.05MB

8. Recurrent Neural Networks/5. LSTM and GRU Theory.mp412.91MB

8. Recurrent Neural Networks/6. Introduction to RNN with TensorFlow API.mp46.27MB

8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp434.1MB

8. Recurrent Neural Networks/8. RNN with TensorFlow - Part Two.mp430.33MB

8. Recurrent Neural Networks/10. RNN with TensorFlow - Part Three.mp412.68MB

8. Recurrent Neural Networks/11. Time Series Exercise Overview.mp413.65MB

8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp435.12MB

8. Recurrent Neural Networks/13. Quick Note on Word2Vec.mp46.05MB

8. Recurrent Neural Networks/14. Word2Vec Theory.mp416.56MB

8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp435.53MB

8. Recurrent Neural Networks/16. Word2Vec Part Two.mp433.38MB

9. Miscellaneous Topics/2. Deep Nets with Tensorflow Abstractions API - Part One.mp416.25MB

9. Miscellaneous Topics/3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp418.69MB

9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp433.37MB

9. Miscellaneous Topics/5. Deep Nets with Tensorflow Abstractions API - Layers.mp428.72MB

9. Miscellaneous Topics/6. Tensorboard.mp439.97MB

10. AutoEncoders/1. Autoencoder Basics.mp413.92MB

10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.mp437.58MB

10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.mp46.15MB

10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.mp422.89MB

10. AutoEncoders/5. Stacked Autoencoder.mp443.93MB

11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.mp47.99MB

11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.mp413.95MB

11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.mp414.77MB

11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.mp49.97MB

11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.mp415.36MB

11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.mp414.79MB

11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.mp435.82MB

11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.mp413.71MB

11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.mp426MB

11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp432.85MB

12. GAN - Generative Adversarial Networks/1. Introduction to GANs.mp413.49MB

12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.mp419.49MB

12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.mp429.28MB

12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.mp427.56MB