From b2c61b5a52cb033436483f2635d112b95b4c28a4 Mon Sep 17 00:00:00 2001 From: Varuna Jayasiri Date: Wed, 25 Aug 2021 17:25:19 +0530 Subject: [PATCH] fix links --- docs/gan/dcgan/index.html | 2 +- docs/gan/original/index.html | 2 +- docs/sitemap.xml | 2 +- labml_nn/gan/dcgan/__init__.py | 2 +- labml_nn/gan/original/__init__.py | 2 +- 5 files changed, 5 insertions(+), 5 deletions(-) diff --git a/docs/gan/dcgan/index.html b/docs/gan/dcgan/index.html index 0f6134cd..ec4a1614 100644 --- a/docs/gan/dcgan/index.html +++ b/docs/gan/dcgan/index.html @@ -316,7 +316,7 @@ but modified for MNIST images.

#
-

We import the [simple gan experiment]((simple_mnist_experiment.html) and change the +

We import the simple gan experiment and change the generator and discriminator networks

diff --git a/docs/gan/original/index.html b/docs/gan/original/index.html index f09cccb0..eb20e36e 100644 --- a/docs/gan/original/index.html +++ b/docs/gan/original/index.html @@ -86,7 +86,7 @@ function $V(G, D)$.

$p_{data}(\pmb{x})$ is the probability distribution over data, whilst $p_{\pmb{z}}(\pmb{z})$ probability distribution of $\pmb{z}$, which is set to gaussian noise.

-

This file defines the loss functions. Here is an MNIST example +

This file defines the loss functions. Here is an MNIST example with two multilayer perceptron for the generator and discriminator.

diff --git a/docs/sitemap.xml b/docs/sitemap.xml index 4e8679cf..8e1d3cb2 100644 --- a/docs/sitemap.xml +++ b/docs/sitemap.xml @@ -393,7 +393,7 @@ https://nn.labml.ai/optimizers/adam.html - 2021-08-17T16:30:00+00:00 + 2021-08-21T16:30:00+00:00 1.00 diff --git a/labml_nn/gan/dcgan/__init__.py b/labml_nn/gan/dcgan/__init__.py index eccdb689..7fdf5c3b 100644 --- a/labml_nn/gan/dcgan/__init__.py +++ b/labml_nn/gan/dcgan/__init__.py @@ -99,7 +99,7 @@ def _weights_init(m): 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 calculate(Configs.generator, 'cnn', lambda c: Generator().to(c.device)) calculate(Configs.discriminator, 'cnn', lambda c: Discriminator().to(c.device)) diff --git a/labml_nn/gan/original/__init__.py b/labml_nn/gan/original/__init__.py index 37665611..d468c583 100644 --- a/labml_nn/gan/original/__init__.py +++ b/labml_nn/gan/original/__init__.py @@ -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 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. """