<?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>Deep-Learning on Daniel Coelho's Blog</title><link>https://1danielcoelho.github.io/tags/deep-learning/</link><description>Recent content in Deep-Learning on Daniel Coelho's Blog</description><image><title>Daniel Coelho's Blog</title><url>https://1danielcoelho.github.io/me.jpg</url><link>https://1danielcoelho.github.io/me.jpg</link></image><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 17 Dec 2022 00:00:00 +0000</lastBuildDate><atom:link href="https://1danielcoelho.github.io/tags/deep-learning/index.xml" rel="self" type="application/rss+xml"/><item><title>Pytorch and neural network conventions and notations</title><link>https://1danielcoelho.github.io/pytorch-conventions/</link><pubDate>Sat, 17 Dec 2022 00:00:00 +0000</pubDate><guid>https://1danielcoelho.github.io/pytorch-conventions/</guid><description>My personal notes used to compare notations and conventions between Pytorch tensors and regular matrix math</description></item><item><title>1D DCGAN for waveform generation</title><link>https://1danielcoelho.github.io/1d-dcgan-transition/</link><pubDate>Wed, 23 Jun 2021 00:00:00 +0000</pubDate><guid>https://1danielcoelho.github.io/1d-dcgan-transition/</guid><description>How to setup and train a DCGAN for 1D data capable of generating gaussian curves</description></item></channel></rss>