[GigaCourse.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python - 2048BT - 全球最新最全bt种子资源在线搜索库，实时索引全球磁力链接资源

BT种子名称

分享给好友

BT种子基本信息

种子哈希：7b3e2d228a3a0d43806132a8ead8f1afa720266b
文档大小：2.5 GB
文档个数：200个文档
下载次数：1411次
下载速度：极快
收录时间：2020-10-11
最近下载：2024-10-04
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:7B3E2D228A3A0D43806132A8EAD8F1AFA720266B
复制磁力链接到utorrent、Bitcomet、迅雷、115、百度网盘、PIKPAK等下载工具进行下载。

下载BT种子

磁力链接种子下载迅雷下载二维码含羞草 51品茶 91视频逼哩逼哩欲漫涩草榴社区抖阴破解版成人快手暗网禁区缅北禁地 TikTok成人版暗网解密

[GigaCourse.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python的二维码

文档列表

1. Introduction/2.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
1. Introduction/3.1 FULL_TENSORFLOW_NOTES__AND_DATA.zip.zip 314.2 MB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.mp4 60.6 MB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.mp4 52.6 MB
10. AutoEncoders/5. Stacked Autoencoder.mp4 46.1 MB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.mp4 42.5 MB
9. Miscellaneous Topics/6. Tensorboard.mp4 41.9 MB
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
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.mp4 37.3 MB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.mp4 36.8 MB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.mp4 36.6 MB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.mp4 35.7 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.mp4 35.0 MB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.mp4 35.0 MB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.mp4 34.5 MB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.mp4 34.1 MB
4. Crash Course Overview/2. NumPy Crash Course.mp4 34.1 MB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.mp4 33.5 MB
3. What is Machine Learning/1. Machine Learning Overview.mp4 31.9 MB
8. Recurrent Neural Networks/8. RNN with TensorFlow - Part Two.mp4 31.8 MB
6. TensorFlow Basics/7. TensorFlow Regression Example - Part One.mp4 31.5 MB
12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.mp4 30.7 MB
9. Miscellaneous Topics/5. Deep Nets with Tensorflow Abstractions API - Layers.mp4 30.1 MB
2. Installation and Setup/2. Installing TensorFlow and Environment Setup.mp4 29.2 MB
6. TensorFlow Basics/12. TF Regression Exercise Solution Walkthrough.mp4 29.1 MB
12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.mp4 28.9 MB
5. Introduction to Neural Networks/6. TensorFlow Playground.mp4 28.5 MB
7. Convolutional Neural Networks/14. CNN Project Exercise Solution - Part Two.mp4 28.3 MB
7. Convolutional Neural Networks/8. CNN Theory Part One.mp4 27.9 MB
7. Convolutional Neural Networks/10. CNN MNIST Code Along - Part One.mp4 27.5 MB
11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.mp4 27.3 MB
5. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.mp4 26.4 MB
6. TensorFlow Basics/9. TensorFlow Classification Example - Part One.mp4 24.9 MB
10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.mp4 24.0 MB
6. TensorFlow Basics/14. TF Classification Exercise Solution Walkthrough.mp4 22.8 MB
4. Crash Course Overview/5. SciKit Learn Preprocessing Overview.mp4 21.3 MB
7. Convolutional Neural Networks/3. New Theory Topics.mp4 20.7 MB
4. Crash Course Overview/4. Data Visualization Crash Course.mp4 20.5 MB
12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.mp4 20.4 MB
6. TensorFlow Basics/2. TensorFlow Basic Syntax.mp4 19.9 MB
9. Miscellaneous Topics/3. Deep Nets with Tensorflow Abstractions API - Estimator API.mp4 19.6 MB
4. Crash Course Overview/7. Crash Course Review Exercise - Solutions.mp4 18.2 MB
8. Recurrent Neural Networks/3. Manual Creation of RNN.mp4 17.5 MB
8. Recurrent Neural Networks/14. Word2Vec Theory.mp4 17.4 MB
1. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).mp4 17.2 MB
9. Miscellaneous Topics/2. Deep Nets with Tensorflow Abstractions API - Part One.mp4 17.0 MB
8. Recurrent Neural Networks/16. Word2Vec Part Two.srt 17.0 MB
7. Convolutional Neural Networks/12. Introduction to CNN Project.mp4 16.8 MB
6. TensorFlow Basics/15. Saving and Restoring Models.mp4 16.2 MB
11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.mp4 16.1 MB
11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.mp4 15.5 MB
11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.mp4 15.5 MB
11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.mp4 14.6 MB
10. AutoEncoders/1. Autoencoder Basics.mp4 14.6 MB
11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.mp4 14.4 MB
8. Recurrent Neural Networks/11. Time Series Exercise Overview.mp4 14.3 MB
12. GAN - Generative Adversarial Networks/1. Introduction to GANs.mp4 14.1 MB
5. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.mp4 13.9 MB
8. Recurrent Neural Networks/5. LSTM and GRU Theory.mp4 13.5 MB
6. TensorFlow Basics/4. Variables and Placeholders.mp4 13.5 MB
8. Recurrent Neural Networks/10. RNN with TensorFlow - Part Three.mp4 13.3 MB
5. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.mp4 13.2 MB
7. Convolutional Neural Networks/6. MNIST Basic Approach Part One.mp4 12.7 MB
1. Introduction/1. Introduction.mp4 12.5 MB
6. TensorFlow Basics/5. TensorFlow - A Neural Network - Part One.mp4 12.2 MB
5. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.mp4 12.0 MB
8. Recurrent Neural Networks/2. RNN Theory.mp4 10.8 MB
11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.mp4 10.5 MB
7. Convolutional Neural Networks/11. CNN MNIST Code Along - Part Two.mp4 10.1 MB
4. Crash Course Overview/3. Pandas Crash Course.mp4 9.5 MB
6. TensorFlow Basics/13. TF Classification Exercise.mp4 9.4 MB
5. Introduction to Neural Networks/3. Neural Network Activation Functions.mp4 9.0 MB
6. TensorFlow Basics/3. TensorFlow Graphs.mp4 9.0 MB
11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.mp4 8.4 MB
6. TensorFlow Basics/11. TF Regression Exercise.mp4 8.4 MB
10. AutoEncoders/1.1 05-Autoencoders.zip.zip 8.3 MB
4. Crash Course Overview/6. Crash Course Review Exercise.mp4 8.0 MB
5. Introduction to Neural Networks/2. Introduction to Perceptron.mp4 7.1 MB
7. Convolutional Neural Networks/5. MNIST Data Overview.srt 6.9 MB
7. Convolutional Neural Networks/5. MNIST Data Overview.mp4 6.9 MB
7. Convolutional Neural Networks/9. CNN Theory Part Two.mp4 6.9 MB
8. Recurrent Neural Networks/6. Introduction to RNN with TensorFlow API.mp4 6.6 MB
10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.mp4 6.5 MB
8. Recurrent Neural Networks/4. Vanishing Gradients.mp4 6.4 MB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.mp4 6.3 MB
5. Introduction to Neural Networks/4. Cost Functions.mp4 5.2 MB
5. Introduction to Neural Networks/5. Gradient Descent Backpropagation.mp4 4.8 MB
7. Convolutional Neural Networks/2. Review of Neural Networks.mp4 3.6 MB
4. Crash Course Overview/1. Crash Course Section Introduction.mp4 2.3 MB
6. TensorFlow Basics/1. Introduction to TensorFlow.mp4 2.1 MB
5. Introduction to Neural Networks/1. Introduction to Neural Networks.mp4 1.7 MB
8. Recurrent Neural Networks/1. Introduction to RNN Section.mp4 1.6 MB
7. Convolutional Neural Networks/1. Introduction to Convolutional Neural Network Section.mp4 1.2 MB
9. Miscellaneous Topics/1.1 Miscellaneous-Topics.zip.zip 75.8 kB
6. TensorFlow Basics/8. TensorFlow Regression Example _ Part Two.srt 33.5 kB
6. TensorFlow Basics/7. TensorFlow Regression Example - Part One.srt 29.5 kB
6. TensorFlow Basics/6. TensorFlow - A Neural Network - Part Two.srt 29.5 kB
10. AutoEncoders/5. Stacked Autoencoder.srt 28.9 kB
8. Recurrent Neural Networks/7. RNN with TensorFlow - Part One.srt 28.2 kB
7. Convolutional Neural Networks/8. CNN Theory Part One.srt 27.9 kB
3. What is Machine Learning/1. Machine Learning Overview.srt 27.2 kB
8. Recurrent Neural Networks/8. RNN with TensorFlow - Part Two.srt 26.6 kB
9. Miscellaneous Topics/6. Tensorboard.srt 26.3 kB
10. AutoEncoders/2. Dimensionality Reduction with Linear Autoencoder.srt 25.7 kB
8. Recurrent Neural Networks/15. Word2Vec Code Along - Part One.srt 25.5 kB
8. Recurrent Neural Networks/12. Time Series Exercise Solution.srt 25.1 kB
5. Introduction to Neural Networks/11. Manual Neural Network Classification Task.srt 24.7 kB
7. Convolutional Neural Networks/7. MNIST Basic Approach Part Two.srt 24.4 kB
11. Reinforcement Learning with OpenAI Gym/8. Simple Neural Network Game.srt 24.1 kB
7. Convolutional Neural Networks/10. CNN MNIST Code Along - Part One.srt 24.1 kB
4. Crash Course Overview/2. NumPy Crash Course.srt 23.9 kB
7. Convolutional Neural Networks/3. New Theory Topics.srt 23.0 kB
7. Convolutional Neural Networks/13. CNN Project Exercise Solution - Part One.srt 22.9 kB
6. TensorFlow Basics/2. TensorFlow Basic Syntax.srt 20.3 kB
6. TensorFlow Basics/9. TensorFlow Classification Example - Part One.srt 20.2 kB
2. Installation and Setup/2. Installing TensorFlow and Environment Setup.srt 20.1 kB
9. Miscellaneous Topics/4. Deep Nets with Tensorflow Abstractions API - Keras.srt 18.7 kB
8. Recurrent Neural Networks/14. Word2Vec Theory.srt 18.6 kB
6. TensorFlow Basics/12. TF Regression Exercise Solution Walkthrough.srt 17.6 kB
6. TensorFlow Basics/10. TensorFlow Classification Example - Part Two.srt 17.3 kB
11. Reinforcement Learning with OpenAI Gym/11. Policy Gradient Code Along Part Two.srt 17.2 kB
6. TensorFlow Basics/14. TF Classification Exercise Solution Walkthrough.srt 17.2 kB
1. Introduction/2. Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks ).srt 16.9 kB
11. Reinforcement Learning with OpenAI Gym/10. Policy Gradient Code Along Part One.srt 16.9 kB
7. Convolutional Neural Networks/14. CNN Project Exercise Solution - Part Two.srt 16.9 kB
12. GAN - Generative Adversarial Networks/4. GAN Code Along - Part Three.srt 16.5 kB
12. GAN - Generative Adversarial Networks/3. GAN Code Along - Part Two.srt 16.5 kB
8. Recurrent Neural Networks/3. Manual Creation of RNN.srt 16.4 kB
5. Introduction to Neural Networks/6. TensorFlow Playground.srt 15.7 kB
9. Miscellaneous Topics/5. Deep Nets with Tensorflow Abstractions API - Layers.srt 15.6 kB
8. Recurrent Neural Networks/5. LSTM and GRU Theory.srt 14.8 kB
4. Crash Course Overview/5. SciKit Learn Preprocessing Overview.srt 14.0 kB
5. Introduction to Neural Networks/10. Manual Creation of Neural Network - Part Four - Session.srt 13.7 kB
11. Reinforcement Learning with OpenAI Gym/6. Open AI Gym Observations.srt 13.7 kB
12. GAN - Generative Adversarial Networks/2. GAN Code Along - Part One.srt 13.5 kB
10. AutoEncoders/1. Autoencoder Basics.srt 13.2 kB
7. Convolutional Neural Networks/6. MNIST Basic Approach Part One.srt 13.1 kB
11. Reinforcement Learning with OpenAI Gym/7. OpenAI Gym Actions.srt 13.1 kB
5. Introduction to Neural Networks/9. Manual Creation of Neural Network - Part Three - Placeholders and Variables.srt 12.9 kB
8. Recurrent Neural Networks/2. RNN Theory.srt 12.3 kB
11. Reinforcement Learning with OpenAI Gym/9. Policy Gradient Theory.srt 12.2 kB
11. Reinforcement Learning with OpenAI Gym/4. OpenAI Gym Steup.srt 12.1 kB
8. Recurrent Neural Networks/11. Time Series Exercise Overview.srt 12.0 kB
5. Introduction to Neural Networks/8. Manual Creation of Neural Network - Part Two - Operations.srt 11.8 kB
4. Crash Course Overview/4. Data Visualization Crash Course.srt 11.7 kB
10. AutoEncoders/4. Linear Autoencoder PCA Exercise Solutions.srt 11.5 kB
6. TensorFlow Basics/5. TensorFlow - A Neural Network - Part One.srt 11.3 kB
12. GAN - Generative Adversarial Networks/1. Introduction to GANs.srt 11.2 kB
9. Miscellaneous Topics/3. Deep Nets with Tensorflow Abstractions API - Estimator API.srt 11.1 kB
9. Miscellaneous Topics/2. Deep Nets with Tensorflow Abstractions API - Part One.srt 11.1 kB
8. Recurrent Neural Networks/10. RNN with TensorFlow - Part Three.srt 10.9 kB
11. Reinforcement Learning with OpenAI Gym/1.1 06-Reinforcement-Learning-OpenAI.zip.zip 10.8 kB
6. TensorFlow Basics/15. Saving and Restoring Models.srt 10.3 kB
7. Convolutional Neural Networks/12. Introduction to CNN Project.srt 10.2 kB
5. Introduction to Neural Networks/3. Neural Network Activation Functions.srt 9.7 kB
11. Reinforcement Learning with OpenAI Gym/5. Open AI Gym Env Basics.srt 9.5 kB
4. Crash Course Overview/7. Crash Course Review Exercise - Solutions.srt 9.3 kB
11. Reinforcement Learning with OpenAI Gym/3. Introduction to OpenAI Gym.srt 9.2 kB
6. TensorFlow Basics/4. Variables and Placeholders.srt 9.2 kB
5. Introduction to Neural Networks/7. Manual Creation of Neural Network - Part One.srt 8.9 kB
6. TensorFlow Basics/3. TensorFlow Graphs.srt 8.8 kB
5. Introduction to Neural Networks/2. Introduction to Perceptron.srt 8.0 kB
6. TensorFlow Basics/13. TF Classification Exercise.srt 7.8 kB
7. Convolutional Neural Networks/11. CNN MNIST Code Along - Part Two.srt 7.8 kB
8. Recurrent Neural Networks/6. Introduction to RNN with TensorFlow API.srt 7.2 kB
8. Recurrent Neural Networks/4. Vanishing Gradients.srt 6.9 kB
4. Crash Course Overview/3. Pandas Crash Course.srt 6.8 kB
11. Reinforcement Learning with OpenAI Gym/1. Introduction to Reinforcement Learning with OpenAI Gym.srt 6.7 kB
7. Convolutional Neural Networks/9. CNN Theory Part Two.srt 6.7 kB
6. TensorFlow Basics/11. TF Regression Exercise.srt 5.5 kB
5. Introduction to Neural Networks/5. Gradient Descent Backpropagation.srt 5.4 kB
5. Introduction to Neural Networks/4. Cost Functions.srt 5.4 kB
8. Recurrent Neural Networks/13. Quick Note on Word2Vec.srt 4.9 kB
1. Introduction/1. Introduction.srt 4.5 kB
7. Convolutional Neural Networks/2. Review of Neural Networks.srt 4.0 kB
4. Crash Course Overview/6. Crash Course Review Exercise.srt 3.7 kB
10. AutoEncoders/3. Linear Autoencoder PCA Exercise Overview.srt 2.9 kB
6. TensorFlow Basics/1. Introduction to TensorFlow.srt 2.3 kB
2. Installation and Setup/1. Quick Note for MacOS and Linux Users.html 2.1 kB
4. Crash Course Overview/1. Crash Course Section Introduction.srt 2.0 kB
8. Recurrent Neural Networks/1. Introduction to RNN Section.srt 1.8 kB
5. Introduction to Neural Networks/1. Introduction to Neural Networks.srt 1.5 kB
7. Convolutional Neural Networks/1. Introduction to Convolutional Neural Network Section.srt 1.3 kB
11. Reinforcement Learning with OpenAI Gym/2. Extra Resources for Reinforcement Learning.html 1.3 kB
8. Recurrent Neural Networks/9. Quick Note on RNN Plotting Part 3.html 1.0 kB
Readme.txt 962 Bytes
13. BONUS/1. Bonus Lecture.html 532 Bytes
1. Introduction/3. FAQ - Frequently Asked Questions.html 413 Bytes
9. Miscellaneous Topics/1. Intro to Miscellaneous Topics.html 344 Bytes
10. AutoEncoders/1.2 Autoencoder Slides.html 161 Bytes
11. Reinforcement Learning with OpenAI Gym/1.2 Reinforcement Learning Slides.html 161 Bytes
3. What is Machine Learning/1.1 ML Overview Slides.html 161 Bytes
5. Introduction to Neural Networks/1.1 Introduction to NN Slides.html 161 Bytes
6. TensorFlow Basics/1.1 TF Basics Slides.html 161 Bytes
7. Convolutional Neural Networks/1.1 CNN Slides.html 161 Bytes
8. Recurrent Neural Networks/1.1 RNN Slides.html 161 Bytes
6. TensorFlow Basics/15.1 Link to notebook.html 145 Bytes
7. Convolutional Neural Networks/4. Quick note on MNIST lecture.html 121 Bytes
[GigaCourse.com].url 49 Bytes

==查看完整文档列表==

上一个：[AniStar.org] Tonikaku Kawaii - 02 [720p].mkv425.4 MB
下一个：heydouga-4157-037-040 2.7 GB

种子标签

种子评价

优质的种子 (0) 假种子 (0) 有密码 (0) 低质量 (0) 有病毒 (0) 无法下载 (0)
欢迎对种子质量进行评价。

人气女优

北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

分享BT种子/磁力链接

亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

2048BT

BT种子名称

[GigaCourse.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

分享给好友

BT种子基本信息

下载磁力链接

下载BT种子

文档列表

猜你喜欢

种子标签

种子评价

最近搜索

人气女优

最新番号

分享BT种子/磁力链接

友情链接