Evolving Neural Networks

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Towards Data Science

For the past decade, deep learning has dominated the machine learning landscape, often to the exclusion of other techniques. As a data scientist, it’s important to have a variety of tools at your…

Evolving Deep Neural Networks

Towards Data Science

Deep learning architectures are getting harder to design, but evolutionary algorithms may help us overcome this. This review presents important recent research in this matter.

Evolve your neural net now! AutoML with regularized evolution from scratch.

Towards Data Science

AutoML is a concept, where a machine learning algorithm is not developed by a human but by a computer. So for a given problem, like for example predicting cats/dogs on photos or predicting stock…

Evolving Neural Networks in JAX

Towards Data Science

“So why should I switch from <insert-autodiff-library to JAX?". The classic first passive-aggressive question when talking about the new 'kid on the block'. Here is my answer: JAX is not simply a…

HyperNEAT: Powerful, Indirect Neural Network Evolution

Towards Data Science

Last week, I wrote an article about NEAT (NeuroEvolution of Augmenting Topologies) and we discussed a lot of the cool things that surrounded the algorithm. We also briefly touched upon how this older…...

Neuroevolution — evolving Artificial Neural Networks topology from the scratch

Becoming Human: Artificial Intelligence Magazine

This article presents how to build and train Artificial Neural Networks by NEAT algorithm. It will consider weakness of current Gradient Descent based training methods and shows a way to improve it.

“Deep Neuroevolution: Genetic Algorithms are a Competitive Alternative for Training Deep Neural…

Towards Data Science

In December 2017, Uber AI Labs released five papers, related to the topic of neuroevolution, a practice where deep neural networks are optimised by evolutionary algorithms. This post is a summary of…

What if Charles Darwin Built a Neural Network?

Towards Data Science

An alternative way to “train” a neural network with evolution Photo by Misael Moreno on Unsplash At the moment, backpropagation is nearly the only way for neural network training. It computes the gra...

Is Artificial Intelligence Evolving?

Becoming Human: Artificial Intelligence Magazine

Artificial intelligence was once the dream of science fiction writers. Isaac Asimov devised three rules to govern robots that could think like humans well before computers were being put to use to…

Explanation of a self-learning, evolving neural network

Towards Data Science

In this article we’ll go through the application of a self-learning, evolution-based genetic algorithm that augments its own topology. Confused? I can imagine; those are some big words. Stay with me…

Evolving a Neural Network in a sparse reward environment

Towards Data Science

Evolving a Neural Network in a Sparse Reward Environment Using genetic algorithms to solve the Lunar Lander Continuous environment with a sparse reward Photo by Winston Chen on Unsplash Genetic algor...

Evolutionary approaches towards AI: past, present, and future

Towards Data Science

Since roughly 2012 [1], the explosive growth in AI has been almost entirely driven by neural network (deep learning) models trained by back-propagation (“backprop”). This includes models for image…