<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>Neural Networks on Anderson de Andrade</title><link>https://deandrade.ca/tags/neural-networks/</link><description>Recent content in Neural Networks on Anderson de Andrade</description><generator>Hugo -- 0.147.2</generator><language>en</language><lastBuildDate>Wed, 30 Apr 2014 00:00:00 +0000</lastBuildDate><atom:link href="https://deandrade.ca/tags/neural-networks/index.xml" rel="self" type="application/rss+xml"/><item><title>Best practices for convolutional neural networks applied to object recognition in images</title><link>https://deandrade.ca/papers/cnn-practices/</link><pubDate>Wed, 30 Apr 2014 00:00:00 +0000</pubDate><guid>https://deandrade.ca/papers/cnn-practices/</guid><description>Evaluate the performance impact of optimization algorithms, activation functions, dropout, and maxout networks, in CNNs.</description></item><item><title>A comparison of neural network training methods for text classification</title><link>https://deandrade.ca/papers/text-classification/</link><pubDate>Sun, 15 Dec 2013 00:00:00 +0000</pubDate><guid>https://deandrade.ca/papers/text-classification/</guid><description>Benchmark of stochastic gradient descent and Nesterov&amp;#39;s accelerated gradient for text classification.</description></item></channel></rss>