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

Creation Time	Aug. 1, 2024, 3:19 p.m.
Last Access Time	March 26, 2025, 4:55 a.m.
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Keywords	and GANs FreeCourseSite - Deep Udemy Autoencoders Learning Variational com
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6. Appendix/2. Windows-Focused Environment Setup 2018.mp4 186.4 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 93.4 MB
5. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.mp4 87.0 MB
5. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.mp4 81.4 MB
6. Appendix/7. Proof that using Jupyter Notebook is the same as not using it.mp4 78.3 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 39.0 MB
6. Appendix/13. What order should I take your courses in (part 2).mp4 37.6 MB
3. Variational Autoencoders/6. Tensorflow Implementation (pt 1).mp4 34.0 MB
4. Generative Adversarial Networks (GANs)/10. Theano Implementation.mp4 29.3 MB
6. Appendix/12. What order should I take your courses in (part 1).mp4 29.3 MB
4. Generative Adversarial Networks (GANs)/8. Tensorflow Implementation.mp4 27.7 MB
4. Generative Adversarial Networks (GANs)/3. GAN Cost Function (pt 2).mp4 27.4 MB
6. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....mp4 27.3 MB
3. Variational Autoencoders/2. Variational Autoencoder Architecture.vtt 27.2 MB
3. Variational Autoencoders/7. Tensorflow Implementation (pt 2).mp4 23.3 MB
6. Appendix/11. Is Theano Dead.mp4 17.8 MB
2. Generative Modeling Review/5. Why do we care about generating samples.mp4 16.6 MB
3. Variational Autoencoders/10. Theano Implementation.mp4 15.3 MB
3. Variational Autoencoders/8. Tensorflow Implementation (pt 3).mp4 14.0 MB
6. Appendix/5. How to Code by Yourself (part 1).mp4 13.6 MB
6. Appendix/4. How to Succeed in this Course (Long Version).mp4 13.0 MB
4. Generative Adversarial Networks (GANs)/7. Tensorflow Implementation Notes.mp4 12.1 MB
3. Variational Autoencoders/3. Parameterizing a Gaussian with a Neural Network.mp4 9.8 MB
4. Generative Adversarial Networks (GANs)/4. DCGAN.mp4 9.5 MB
2. Generative Modeling Review/3. Gaussian Mixture Model Review.mp4 9.4 MB
2. Generative Modeling Review/3. Gaussian Mixture Model Review.vtt 9.4 MB
2. Generative Modeling Review/6. Neural Network and Autoencoder Review.mp4 9.2 MB
4. Generative Adversarial Networks (GANs)/11. GAN Summary.mp4 8.7 MB
6. Appendix/6. How to Code by Yourself (part 2).mp4 8.6 MB
3. Variational Autoencoders/12. Bayesian Perspective.mp4 8.5 MB
6. Appendix/10. Python 2 vs Python 3.mp4 7.8 MB
4. Generative Adversarial Networks (GANs)/6. Fractionally-Strided Convolution.mp4 7.4 MB
4. Generative Adversarial Networks (GANs)/5. Batch Normalization Review.mp4 6.8 MB
4. Generative Adversarial Networks (GANs)/9. Theano Implementation Notes.mp4 6.6 MB
3. Variational Autoencoders/5. Cost Function.mp4 6.6 MB
2. Generative Modeling Review/8. Theano Warmup.mp4 6.4 MB
4. Generative Adversarial Networks (GANs)/2. GAN Cost Function (pt 1).mp4 6.2 MB
6. Appendix/1. What is the Appendix.mp4 5.5 MB
2. Generative Modeling Review/7. Tensorflow Warmup.mp4 5.3 MB
4. Generative Adversarial Networks (GANs)/1. GAN - Basic Principles.mp4 5.0 MB
3. Variational Autoencoders/1. Variational Autoencoders Section Introduction.mp4 4.9 MB
1. Introduction and Outline/4. How to succeed in this course.mp4 4.8 MB
3. Variational Autoencoders/2. Variational Autoencoder Architecture.mp4 4.6 MB
2. Generative Modeling Review/4. Sampling Demo Bayes Classifier with GMM.mp4 4.3 MB
2. Generative Modeling Review/1. What does it mean to Sample.mp4 4.2 MB
2. Generative Modeling Review/2. Sampling Demo Bayes Classifier.mp4 4.2 MB
1. Introduction and Outline/1. Welcome.mp4 4.1 MB
3. Variational Autoencoders/4. The Latent Space, Predictive Distributions and Samples.mp4 4.0 MB
3. Variational Autoencoders/9. The Reparameterization Trick.mp4 4.0 MB
1. Introduction and Outline/2. Where does this course fit into your deep learning studies.mp4 3.9 MB
1. Introduction and Outline/3. Where to get the code and data.mp4 3.6 MB
3. Variational Autoencoders/11. Visualizing the Latent Space.mp4 3.6 MB
6. Appendix/9. Where to get discount coupons and FREE deep learning material.mp4 3.4 MB
3. Variational Autoencoders/13. Variational Autoencoder Section Summary.mp4 3.3 MB
6. Appendix/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 27.8 KB
6. Appendix/13. What order should I take your courses in (part 2).vtt 20.2 KB
4. Generative Adversarial Networks (GANs)/10. Theano Implementation.vtt 20.2 KB
6. Appendix/5. How to Code by Yourself (part 1).vtt 19.7 KB
4. Generative Adversarial Networks (GANs)/8. Tensorflow Implementation.vtt 18.4 KB
6. Appendix/2. Windows-Focused Environment Setup 2018.vtt 17.4 KB
4. Generative Adversarial Networks (GANs)/7. Tensorflow Implementation Notes.vtt 15.2 KB
6. Appendix/12. What order should I take your courses in (part 1).vtt 14.1 KB
6. Appendix/4. How to Succeed in this Course (Long Version).vtt 12.9 KB
6. Appendix/3. How to How to install Numpy, Theano, Tensorflow, etc....vtt 12.4 KB
6. Appendix/7. Proof that using Jupyter Notebook is the same as not using it.vtt 12.2 KB
2. Generative Modeling Review/5. Why do we care about generating samples.vtt 12.1 KB
6. Appendix/6. How to Code by Yourself (part 2).vtt 11.6 KB
6. Appendix/11. Is Theano Dead.vtt 11.3 KB
4. Generative Adversarial Networks (GANs)/11. GAN Summary.vtt 11.0 KB
3. Variational Autoencoders/10. Theano Implementation.vtt 10.3 KB
3. Variational Autoencoders/12. Bayesian Perspective.vtt 9.8 KB
4. Generative Adversarial Networks (GANs)/6. Fractionally-Strided Convolution.vtt 9.4 KB
3. Variational Autoencoders/8. Tensorflow Implementation (pt 3).vtt 9.2 KB
4. Generative Adversarial Networks (GANs)/5. Batch Normalization Review.vtt 8.9 KB
4. Generative Adversarial Networks (GANs)/9. Theano Implementation Notes.vtt 8.6 KB
4. Generative Adversarial Networks (GANs)/4. DCGAN.vtt 8.1 KB
2. Generative Modeling Review/6. Neural Network and Autoencoder Review.vtt 8.0 KB
4. Generative Adversarial Networks (GANs)/2. GAN Cost Function (pt 1).vtt 7.7 KB
3. Variational Autoencoders/6. Tensorflow Implementation (pt 1).vtt 7.6 KB
3. Variational Autoencoders/5. Cost Function.vtt 7.5 KB
3. Variational Autoencoders/3. Parameterizing a Gaussian with a Neural Network.vtt 7.5 KB
4. Generative Adversarial Networks (GANs)/3. GAN Cost Function (pt 2).vtt 7.2 KB
5. Theano and Tensorflow Basics Review/1. (Review) Theano Basics.vtt 6.3 KB
3. Variational Autoencoders/1. Variational Autoencoders Section Introduction.vtt 6.1 KB
4. Generative Adversarial Networks (GANs)/1. GAN - Basic Principles.vtt 5.8 KB
1. Introduction and Outline/4. How to succeed in this course.vtt 5.6 KB
1. Introduction and Outline/2. Where does this course fit into your deep learning studies.vtt 5.6 KB
3. Variational Autoencoders/4. The Latent Space, Predictive Distributions and Samples.vtt 5.5 KB
6. Appendix/10. Python 2 vs Python 3.vtt 5.4 KB
3. Variational Autoencoders/9. The Reparameterization Trick.vtt 5.2 KB
5. Theano and Tensorflow Basics Review/3. (Review) Tensorflow Basics.vtt 5.1 KB
2. Generative Modeling Review/1. What does it mean to Sample.vtt 4.9 KB
1. Introduction and Outline/1. Welcome.vtt 4.8 KB
5. Theano and Tensorflow Basics Review/4. (Review) Tensorflow Neural Network in Code.vtt 4.8 KB
2. Generative Modeling Review/8. Theano Warmup.vtt 4.6 KB
3. Variational Autoencoders/13. Variational Autoencoder Section Summary.vtt 4.1 KB
1. Introduction and Outline/3. Where to get the code and data.vtt 3.9 KB
2. Generative Modeling Review/7. Tensorflow Warmup.vtt 3.8 KB
2. Generative Modeling Review/4. Sampling Demo Bayes Classifier with GMM.vtt 3.6 KB
5. Theano and Tensorflow Basics Review/2. (Review) Theano Neural Network in Code.vtt 3.3 KB
2. Generative Modeling Review/2. Sampling Demo Bayes Classifier.vtt 3.3 KB
6. Appendix/1. What is the Appendix.vtt 3.3 KB
6. Appendix/9. Where to get discount coupons and FREE deep learning material.vtt 3.0 KB
3. Variational Autoencoders/11. Visualizing the Latent Space.vtt 2.9 KB
3. Variational Autoencoders/7. Tensorflow Implementation (pt 2).vtt 2.4 KB
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[FreeCourseSite.com].url 127 bytes
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