/explore
|
You are here 
|
saturncloud.io | ||
| | | | |
www.jeremymorgan.com
Want to learn about PyTorch? Of course you do. This tutorial covers PyTorch basics, creating a simple neural network, and applying it to classify handwritten digits. |
|
| | | | | ||
| | | | |
wtfleming.github.io
[AI summary] This post discusses achieving 99.1% accuracy in binary image classification of cats and dogs using an ensemble of ResNet models with PyTorch. |
|
| | | | | ||
| | | | |
vxlabs.com
I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time. |
|
| | | | | ||
| | | | |
futurism.com
This post was originally written by Manan Shah as a response to a question on Quora. |
|
| | | |||
