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Varuna Jayasiri
2021-08-25 17:25:19 +05:30
parent 07433c209b
commit b2c61b5a52
5 changed files with 5 additions and 5 deletions
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docs/gan/dcgan/index.html
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@ -316,7 +316,7 @@ but modified for MNIST images.</p>
<div class='section-link'> <div class='section-link'>
<a href='#section-19'>#</a> <a href='#section-19'>#</a>
</div> </div>
<p>We import the [simple gan experiment]((simple_mnist_experiment.html) and change the <p>We import the <a href="../original/experiment.html">simple gan experiment</a> and change the
generator and discriminator networks</p> generator and discriminator networks</p>
</div> </div>
<div class='code'> <div class='code'>

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docs/gan/original/index.html
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@ -86,7 +86,7 @@ function $V(G, D)$.</p>
<p>$p_{data}(\pmb{x})$ is the probability distribution over data, <p>$p_{data}(\pmb{x})$ is the probability distribution over data,
whilst $p_{\pmb{z}}(\pmb{z})$ probability distribution of $\pmb{z}$, which is set to whilst $p_{\pmb{z}}(\pmb{z})$ probability distribution of $\pmb{z}$, which is set to
gaussian noise.</p> gaussian noise.</p>
<p>This file defines the loss functions. <a href="../simple_mnist_experiment.html">Here</a> is an MNIST example <p>This file defines the loss functions. <a href="experiment.html">Here</a> is an MNIST example
with two multilayer perceptron for the generator and discriminator.</p> with two multilayer perceptron for the generator and discriminator.</p>
</div> </div>
<div class='code'> <div class='code'>

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docs/sitemap.xml
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@ -393,7 +393,7 @@
<url> <url>
<loc>https://nn.labml.ai/optimizers/adam.html</loc> <loc>https://nn.labml.ai/optimizers/adam.html</loc>
<lastmod>2021-08-17T16:30:00+00:00</lastmod> <lastmod>2021-08-21T16:30:00+00:00</lastmod>
<priority>1.00</priority> <priority>1.00</priority>
</url> </url>

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labml_nn/gan/dcgan/__init__.py
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@ -99,7 +99,7 @@ def _weights_init(m):
nn.init.constant_(m.bias.data, 0) nn.init.constant_(m.bias.data, 0)
# We import the [simple gan experiment]((simple_mnist_experiment.html) and change the # We import the [simple gan experiment](../original/experiment.html) and change the
# generator and discriminator networks # generator and discriminator networks
calculate(Configs.generator, 'cnn', lambda c: Generator().to(c.device)) calculate(Configs.generator, 'cnn', lambda c: Generator().to(c.device))
calculate(Configs.discriminator, 'cnn', lambda c: Discriminator().to(c.device)) calculate(Configs.discriminator, 'cnn', lambda c: Discriminator().to(c.device))

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labml_nn/gan/original/__init__.py
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@ -27,7 +27,7 @@ $p_{data}(\pmb{x})$ is the probability distribution over data,
whilst $p_{\pmb{z}}(\pmb{z})$ probability distribution of $\pmb{z}$, which is set to whilst $p_{\pmb{z}}(\pmb{z})$ probability distribution of $\pmb{z}$, which is set to
gaussian noise. gaussian noise.
This file defines the loss functions. [Here](../simple_mnist_experiment.html) is an MNIST example This file defines the loss functions. [Here](experiment.html) is an MNIST example
with two multilayer perceptron for the generator and discriminator. with two multilayer perceptron for the generator and discriminator.
""" """