Deep Learning without Backpropagation - i am trask
Tutorial: DeepMind's Synthetic Gradients Posted by iamtrask on March 21, 2017 TLDR: In this blogpost, we're going to prototype (from scratch) and learn the intuitions behind DeepMind's recently proposed Decoupled Neural Interfaces Using Synthetic Gradients paper. I typically tweet out new blogposts when they're complete at @iamtrask. Feel free to follow if you'd be interested in reading more in th
Building Safe A.I. - i am trask
A Tutorial for Encrypted Deep Learning Posted by iamtrask on March 17, 2017 TLDR: In this blogpost, we're going to train a neural network that is fully encrypted during training (trained on unencrypted data). The result will be a neural network with two beneficial properties. First, the neural network's intelligence is protected from those who might want to steal it, allowing valuable AIs to be tr
Tutorial: Deep Learning in PyTorch - i am trask
An Unofficial Startup Guide. Posted by iamtrask on January 15, 2017 EDIT: A complete revamp of PyTorch was released today (Jan 18, 2017), making this blogpost a bit obselete. I will update this post with a new Quickstart Guide soon, but for now you should check out their documentation.</a> This Blogpost Will Cover: Part 1: PyTorch Installation Part 2: Matrices and Linear Algebra in PyTorch Part 3:
How to Code and Understand DeepMind's Neural Stack Machine - i am trask
Learning to Transduce with Unbounded Memory Posted by iamtrask on February 25, 2016 Summary: I learn best with toy code that I can play with. This tutorial teaches DeepMind's Neural Stack machine via a very simple toy example, a short python implementation. I will also explain my thought process along the way for reading and implementing research papers from scratch, which I hope you will find use
Anyone Can Learn To Code an LSTM-RNN in Python (Part 1: RNN) - i am trask
Baby steps to your neural network's first memories. Posted by iamtrask on November 15, 2015 Summary: I learn best with toy code that I can play with. This tutorial teaches Recurrent Neural Networks via a very simple toy example, a short python implementation. Chinese Translation Korean Translation I'll tweet out (Part 2: LSTM) when it's complete at @iamtrask. Feel free to follow if you'd be intere
A Neural Network in 11 lines of Python (Part 1) - i am trask
A bare bones neural network implementation to describe the inner workings of backpropagation. Posted by iamtrask on July 12, 2015 Summary: I learn best with toy code that I can play with. This tutorial teaches backpropagation via a very simple toy example, a short python implementation. Edit: Some folks have asked about a followup article, and I'm planning to write one. I'll tweet it out when it's
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Grokking Deep Learning - i am trask
