faizan2786/nalu_implementation
This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo complements my article on Medium on NALU
This is an implementation of Neural Arithmetic Logic Units (NALU), a type of neural network capable of learning mathematical operations. It takes numerical inputs and learns to perform arithmetic functions like addition, subtraction, multiplication, division, and powers, producing numerical outputs that demonstrate strong generalization. This is useful for AI researchers or machine learning engineers exploring advanced neural network architectures for numerical tasks.
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Use this if you are a machine learning researcher or engineer interested in understanding and experimenting with Neural Arithmetic Logic Units (NALU) to build models that can generalize well to unseen numerical calculations.
Not ideal if you are looking for a high-level library to apply to complex, real-world datasets without needing to understand the underlying NALU architecture.
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Aug 20, 2018
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