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文档列表

05 Appendix/037 How to How to install Numpy Theano Tensorflow etc....mp4 46.0 MB
04 Generative Adversarial Networks GANs/035 Theano Implementation.mp4 30.8 MB
04 Generative Adversarial Networks GANs/033 Tensorflow Implementation.mp4 29.0 MB
03 Variational Autoencoders/020 Tensorflow Implementation pt 3.mp4 28.7 MB
02 Generative Modeling Review/009 Why do we care about generating samples.mp4 25.1 MB
02 Generative Modeling Review/007 Gaussian Mixture Model Review.mp4 19.2 MB
03 Variational Autoencoders/024 Bayesian Perspective.mp4 18.6 MB
03 Variational Autoencoders/022 Theano Implementation.mp4 16.1 MB
04 Generative Adversarial Networks GANs/031 Fractionally-Strided Convolution.mp4 15.9 MB
03 Variational Autoencoders/015 Parameterizing a Gaussian with a Neural Network.mp4 15.7 MB
05 Appendix/040 How to Code by Yourself part 2.mp4 15.5 MB
04 Generative Adversarial Networks GANs/029 DCGAN.mp4 14.3 MB
05 Appendix/039 How to Code by Yourself part 1.mp4 14.3 MB
03 Variational Autoencoders/017 Cost Function.mp4 13.7 MB
04 Generative Adversarial Networks GANs/027 GAN Cost Function pt 1.mp4 13.5 MB
04 Generative Adversarial Networks GANs/034 Theano Implementation Notes.mp4 13.3 MB
03 Variational Autoencoders/018 Tensorflow Implementation pt 1.mp4 13.2 MB
04 Generative Adversarial Networks GANs/032 Tensorflow Implementation Notes.mp4 12.7 MB
03 Variational Autoencoders/014 Variational Autoencoder Architecture.mp4 10.4 MB
05 Appendix/038 How to Succeed in this Course Long Version.mp4 10.0 MB
04 Generative Adversarial Networks GANs/026 GAN - Basic Principles.mp4 9.9 MB
02 Generative Modeling Review/011 Tensorflow Warmup.mp4 9.8 MB
02 Generative Modeling Review/010 Neural Network and Autoencoder Review.mp4 9.7 MB
04 Generative Adversarial Networks GANs/036 GAN Summary.mp4 9.2 MB
02 Generative Modeling Review/005 What does it mean to Sample.mp4 8.9 MB
02 Generative Modeling Review/008 Sampling Demo Bayes Classifier with GMM.mp4 8.8 MB
04 Generative Adversarial Networks GANs/028 GAN Cost Function pt 2.mp4 8.7 MB
01 Introduction and Outline/001 Welcome.mp4 8.7 MB
04 Generative Adversarial Networks GANs/030 Batch Normalization Review.mp4 7.2 MB
03 Variational Autoencoders/025 Variational Autoencoder Section Summary.mp4 7.2 MB
03 Variational Autoencoders/023 Visualizing the Latent Space.mp4 6.8 MB
02 Generative Modeling Review/012 Theano Warmup.mp4 6.7 MB
03 Variational Autoencoders/013 Variational Autoencoders Section Introduction.mp4 5.2 MB
01 Introduction and Outline/004 How to succeed in this course.mp4 5.1 MB
02 Generative Modeling Review/006 Sampling Demo Bayes Classifier.mp4 4.3 MB
03 Variational Autoencoders/021 The Reparameterization Trick.mp4 4.2 MB
03 Variational Autoencoders/016 The Latent Space Predictive Distributions and Samples.mp4 4.2 MB
01 Introduction and Outline/002 Where does this course fit into your deep learning studies.mp4 4.1 MB
01 Introduction and Outline/003 Where to get the code and data.mp4 3.8 MB
05 Appendix/041 Where to get discount coupons and FREE deep learning material.mp4 3.5 MB
03 Variational Autoencoders/019 Tensorflow Implementation pt 2.mp4 2.8 MB
[DesireCourse.Com].txt 754 Bytes
[DesireCourse.Com].url 51 Bytes

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