Below you will find pages that utilize the taxonomy term “English”
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A note about Generative Adversarial Networks
Generative Adversarial Networks (GAN) Use a latent code Asymptotically consistent (unlike variational methods - e.g. VAE) No Markov chains needed (unlike Boltzmann Machines) Often regarded as producing the best samples (?) Discriminator The discriminator examines samples to determine whether they are real or fake.
Cost:
$$ J^{(D)}\big(\boldsymbol{\theta}^{(D)},\boldsymbol{\theta}^{(G)}\big)=-\frac{1}{2}\mathbb{E}_ {\boldsymbol{x} \sim p_ {data}} \log D(\boldsymbol{x}) - \frac{1}{2}\mathbb{E}_ \boldsymbol{z}\log(1-D(G(\boldsymbol{z}))) $$
This is just the standard cross-entropy cost that is minimized when training a standard binary classifier with a sigmoid output.
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Using Backbone.js on Rails
My simple demo to show how to integrate Backbone.js with Rails! Source code can be found here: https://github.com/vanhuyz/rails-with-backbonejs-example