种子简介

种子名称： [FreeCourseSite.com] Udemy - Deep Learning GANs and Variational Autoencoders
文件类型： 视频
文件数目： 53个文件
文件大小： 1.16 GB
收录时间： 2019-6-3 12:32
已经下载： 3次
资源热度： 172
最近下载： 2024-12-10 23:41

下载BT种子文件

下载Torrent文件(.torrent) 立即下载

磁力链接下载

magnet:?xt=urn:btih:77ab3725431ae1d8a5ad83db04d685055ff92b8c&dn=[FreeCourseSite.com] Udemy - Deep Learning GANs and Variational Autoencoders 复制链接到迅雷、QQ旋风进行下载，或者使用百度云离线下载。

喜欢这个种子的人也喜欢

种子包含的文件

[FreeCourseSite.com] Udemy - Deep Learning GANs and Variational Autoencoders.torrent

1. Introduction and Outline/1. Welcome.mp44.09MB

1. Introduction and Outline/2. Where does this course fit into your deep learning studies.mp43.93MB

1. Introduction and Outline/3. Where to get the code and data.mp43.59MB

1. Introduction and Outline/4. How to succeed in this course.mp44.82MB

2. Generative Modeling Review/1. What does it mean to Sample.mp44.19MB

2. Generative Modeling Review/2. Sampling Demo Bayes Classifier.mp44.15MB

2. Generative Modeling Review/3. Gaussian Mixture Model Review.mp49.41MB

2. Generative Modeling Review/4. Sampling Demo Bayes Classifier with GMM.mp44.34MB

2. Generative Modeling Review/5. Why do we care about generating samples.mp416.55MB

2. Generative Modeling Review/6. Neural Network and Autoencoder Review.mp49.22MB

2. Generative Modeling Review/7. Tensorflow Warmup.mp45.26MB

2. Generative Modeling Review/8. Theano Warmup.mp46.35MB

3. Variational Autoencoders/1. Variational Autoencoders Section Introduction.mp44.93MB

3. Variational Autoencoders/10. Theano Implementation.mp415.35MB

3. Variational Autoencoders/11. Visualizing the Latent Space.mp43.58MB

3. Variational Autoencoders/12. Bayesian Perspective.mp48.54MB

3. Variational Autoencoders/13. Variational Autoencoder Section Summary.mp43.28MB

3. Variational Autoencoders/2. Variational Autoencoder Architecture.mp44.63MB

3. Variational Autoencoders/3. Parameterizing a Gaussian with a Neural Network.mp49.79MB

3. Variational Autoencoders/4. The Latent Space, Predictive Distributions and Samples.mp44.02MB

3. Variational Autoencoders/5. Cost Function.mp46.58MB

3. Variational Autoencoders/6. Tensorflow Implementation (pt 1).mp434.02MB

3. Variational Autoencoders/7. Tensorflow Implementation (pt 2).mp423.28MB

3. Variational Autoencoders/8. Tensorflow Implementation (pt 3).mp414.05MB

3. Variational Autoencoders/9. The Reparameterization Trick.mp44.02MB

4. Generative Adversarial Networks (GANs)/1. GAN - Basic Principles.mp45.04MB

4. Generative Adversarial Networks (GANs)/10. Theano Implementation.mp429.34MB

4. Generative Adversarial Networks (GANs)/11. GAN Summary.mp48.74MB

4. Generative Adversarial Networks (GANs)/2. GAN Cost Function (pt 1).mp46.18MB

4. Generative Adversarial Networks (GANs)/3. GAN Cost Function (pt 2).mp427.43MB

4. Generative Adversarial Networks (GANs)/4. DCGAN.mp49.52MB

4. Generative Adversarial Networks (GANs)/5. Batch Normalization Review.mp46.82MB

4. Generative Adversarial Networks (GANs)/6. Fractionally-Strided Convolution.mp47.41MB

4. Generative Adversarial Networks (GANs)/7. Tensorflow Implementation Notes.mp412.08MB

4. Generative Adversarial Networks (GANs)/8. Tensorflow Implementation.mp427.66MB

4. Generative Adversarial Networks (GANs)/9. Theano Implementation Notes.mp46.62MB

5. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp493.45MB

5. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp487.02MB

5. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp481.42MB

5. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp497.3MB

6. Appendix/1. What is the Appendix.mp45.46MB

6. Appendix/10. Python 2 vs Python 3.mp47.84MB

6. Appendix/11. Is Theano Dead.mp417.82MB

6. Appendix/12. What order should I take your courses in (part 1).mp429.33MB

6. Appendix/13. What order should I take your courses in (part 2).mp437.62MB

6. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.37MB

6. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp427.28MB

6. Appendix/4. How to Succeed in this Course (Long Version).mp412.99MB

6. Appendix/5. How to Code by Yourself (part 1).mp413.64MB

6. Appendix/6. How to Code by Yourself (part 2).mp48.65MB

6. Appendix/7. Proof that using Jupyter Notebook is the same as not using it.mp478.27MB

6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.96MB

6. Appendix/9. Where to get discount coupons and FREE deep learning material.mp43.38MB