Explore >> Select a destination


You are here

polukhin.tech
| | coornail.net
7.6 parsecs away

Travel
| | 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.
| | tomhume.org
6.0 parsecs away

Travel
| | I don't remember how I came across it, but this is one of the most exciting papers I've read recently. The authors train a neural network that tries to identify the next in a sequence of MNIST samples, presented in digit order. The interesting part is that when they include a proxy for energy usage in the loss function (i.e. train it to be more energy-efficient), the resulting network seems to exhibit the characteristics of predictive coding: some units seem to be responsible for predictions, others for encoding prediction error.
| | d2l.ai
9.2 parsecs away

Travel
| |
| | martinfowler.com
45.9 parsecs away

Travel
| There are only two hard things in Computer Science: cache invalidation and naming things -- Phil Karlton (bonus variations on the page)