facebookarchive/fb.resnet.torch
Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
A set of utility scripts, written using jscodeshift, that can be used by community members and Facebook alike to upgrade Relay APIs in an automated fashion.
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Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts
Experimental binutils branch
Simple environment for creating very simple 2D games and training neural network models to perform tasks within them
We present an approach for learning simple algorithms such as copying, multi-digit addition and single digit multiplication directly from examples. Our framework consists of a set of interfaces, accessed by a controller. Typical interfaces are 1-D tapes or 2-D grids that hold the input and output data. For the controller, we explore a range of neural network-based models which vary in their ability to abstract the underlying algorithm from training instances and generalize to test examples with many thousands of digits. The controller is trained using Q-learning with several enhancements and we show that the bottleneck is in the capabilities of the controller rather than in the search incurred by Q-learning.