AtriSaxena / Neural_Arithmetic_Logic_Units-Keras

This is the code for "Neural Arithmetic Logic Units" in Keras by Atri Saxena

Neural Arithmetic Logic Units

[WIP]

This is a Keras implementation of Neural Arithmetic Logic Units by Andrew Trask, Felix Hill, Scott Reed, Jack Rae, Chris Dyer and Phil Blunsom.

Usage

Simply add them as normal layers after importing nalu.py or nac.py.

NALU has several additional parameters, the most important of which is whether to apply the gating mechanism or not

• use_gating is True by default, enabling the behaviour from the paper.
• Resetting use_gating allows the layer to model more complex expressions.

from nalu import NALU


ip = Input(...)
x = NALU(10, use_gating=True)(ip)
...

Requirements

• Tensorflow (Tested) | Theano
• Keras 2+