Neural network pruning with simulated annealing

Octavio Gonzalez-Lugo
4 min readApr 1, 2020
Photo by Ludomił on Unsplash

The flexibility and adaptability of neural networks make them a great tool for several machine learning applications. However, neural networks and deep neural networks some times need a huge amount of resources to make the inference. Currently, new techniques are being developed to make smaller networks as well as to make the evaluation a little bit faster. One of those techniques is called pruning, an…

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Octavio Gonzalez-Lugo

Writing about math, natural sciences, academia and any other thing that I can think about.