[DownTuts.Com] Udemy - Deep Learning GANs and Variational Autoencoders

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文件数目：107个文件
文件大小：1.19 GB
收录时间：2023-05-23
访问次数：1
相关内容：DownTuts Udemy Deep Learning GANs Variational Autoencoders

文件meta

6. Appendix/2. Windows-Focused Environment Setup 2018.mp4
186.37 MB
5. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.mp4
97.3 MB
5. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.mp4
93.45 MB
5. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4
87.02 MB
5. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4
81.42 MB
6. Appendix/7. Proof that using Jupyter Notebook is the same as not using it.mp4
78.27 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.96 MB
6. Appendix/13. What order should I take your courses in (part 2).mp4
37.62 MB
3. Variational Autoencoders/6. Tensorflow Implementation (pt 1).mp4
34.02 MB
4. Generative Adversarial Networks (GANs)/10. Theano Implementation.mp4
29.34 MB
6. Appendix/12. What order should I take your courses in (part 1).mp4
29.33 MB
4. Generative Adversarial Networks (GANs)/8. Tensorflow Implementation.mp4
27.66 MB
4. Generative Adversarial Networks (GANs)/3. GAN Cost Function (pt 2).mp4
27.43 MB
6. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4
27.28 MB
3. Variational Autoencoders/2. Variational Autoencoder Architecture.vtt
27.23 MB
3. Variational Autoencoders/7. Tensorflow Implementation (pt 2).mp4
23.28 MB
6. Appendix/11. Is Theano Dead.mp4
17.82 MB
2. Generative Modeling Review/5. Why do we care about generating samples.mp4
16.55 MB
3. Variational Autoencoders/10. Theano Implementation.mp4
15.35 MB
3. Variational Autoencoders/8. Tensorflow Implementation (pt 3).mp4
14.05 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4
13.64 MB
6. Appendix/4. How to Succeed in this Course (Long Version).mp4
12.99 MB
4. Generative Adversarial Networks (GANs)/7. Tensorflow Implementation Notes.mp4
12.08 MB
3. Variational Autoencoders/3. Parameterizing a Gaussian with a Neural Network.mp4
9.79 MB
4. Generative Adversarial Networks (GANs)/4. DCGAN.mp4
9.52 MB
2. Generative Modeling Review/3. Gaussian Mixture Model Review.mp4
9.41 MB
2. Generative Modeling Review/3. Gaussian Mixture Model Review.vtt
9.41 MB
2. Generative Modeling Review/6. Neural Network and Autoencoder Review.mp4
9.22 MB
4. Generative Adversarial Networks (GANs)/11. GAN Summary.mp4
8.74 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4
8.65 MB
3. Variational Autoencoders/12. Bayesian Perspective.mp4
8.54 MB
6. Appendix/10. Python 2 vs Python 3.mp4
7.84 MB
4. Generative Adversarial Networks (GANs)/6. Fractionally-Strided Convolution.mp4
7.41 MB
4. Generative Adversarial Networks (GANs)/5. Batch Normalization Review.mp4
6.82 MB
4. Generative Adversarial Networks (GANs)/9. Theano Implementation Notes.mp4
6.62 MB
3. Variational Autoencoders/5. Cost Function.mp4
6.58 MB
2. Generative Modeling Review/8. Theano Warmup.mp4
6.35 MB
4. Generative Adversarial Networks (GANs)/2. GAN Cost Function (pt 1).mp4
6.18 MB
6. Appendix/1. What is the Appendix.mp4
5.46 MB
2. Generative Modeling Review/7. Tensorflow Warmup.mp4
5.26 MB
4. Generative Adversarial Networks (GANs)/1. GAN - Basic Principles.mp4
5.04 MB
3. Variational Autoencoders/1. Variational Autoencoders Section Introduction.mp4
4.93 MB
1. Introduction and Outline/4. How to succeed in this course.mp4
4.82 MB
3. Variational Autoencoders/2. Variational Autoencoder Architecture.mp4
4.63 MB
2. Generative Modeling Review/4. Sampling Demo Bayes Classifier with GMM.mp4
4.34 MB
2. Generative Modeling Review/1. What does it mean to Sample.mp4
4.19 MB
2. Generative Modeling Review/2. Sampling Demo Bayes Classifier.mp4
4.15 MB
1. Introduction and Outline/1. Welcome.mp4
4.09 MB
3. Variational Autoencoders/4. The Latent Space, Predictive Distributions and Samples.mp4
4.02 MB
3. Variational Autoencoders/9. The Reparameterization Trick.mp4
4.02 MB