Explore >> Select a destination
|
You are here 
|
tanelp.github.io | ||
| | | | |
coornail.net
|
|
| | | | | Neural networks are a powerful tool in machine learning that can be trained to perform a wide range of tasks, from image classification to natural language processing. In this blog post, well explore how to teach a neural network to add together two numbers. You can also think about this article as a tutorial for tensorflow. | |
| | | | |
web.navan.dev
|
|
| | | | | Tutorial on creating an image classifier model using TensorFlow which detects malaria | |
| | | | |
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. | |
| | | | |
jimmeruk.com
|
|
| | | This idiot posted a picture of himself during the election campaign. Ripe for photoshopping. | ||
