/explore

Click through on any links that interest you or select the planets on the right to continue exploring the Outer Web.
You are here

 ijdykeman.github.io
Conditional Variational Autoencoders
| | tiao.io
A Tutorial on Variational Autoencoders with a Concise Keras Implementation | Louis Tiao
1.8 parsecs away

Travel
| | An in-depth practical guide to variational encoders from a probabilistic perspective.
| | jxmo.io
Introduction to variational autoencoders - Jack Morris
1.2 parsecs away

Travel
| | A primer on variational autoencoders (VAEs) culminating in a PyTorch implementation of a VAE with discrete latents.
| | kvfrans.com
Variational Autoencoders Explained
1.6 parsecs away

Travel
| | In my previous post about generative adversarial networks, I went over a simple method to training a network that could generate realistic-looking images. However, there were a couple of downsides to using a plain GAN. First, the images are generated off some arbitrary noise. If you wanted to generate a
| | igorstechnoclub.com
Week 5 in Data Science: Image recognition neural network with 90% accuracy - a trivial task | Igor's Techno Club
4.1 parsecs away

Travel
| This week I learned something that finally made "transfer learning" click. I had always heard that you can hit strong accuracy fast by reusing a pretrain...