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…

The Detailed Explanation of Evolution of Image Classification Networks

Python in Plain English

The Detailed Explanation of the Evolution of Image Classification Networks In recent years, the field of deep learning has witnessed unprecedented advancements, driven by the desire to emulate the in...

Unit 3 Application) Evolving Neural Network for Time Series Analysis

Towards Data Science

Hello and Welcome back to this full course on Evolutionary Computation! In this post we will wrap up Unit 3 with the much anticipated application of evolving the weights of a Neural Network for Time…

Reinforcement learning without gradients: evolving agents using Genetic Algorithms

Towards Data Science

During holidays I wanted to ramp up my reinforcement learning skills. Knowing absolutely nothing about the field, I did a course where I was exposed to Q-learning and its “deep” equivalent (Deep-Q…

Latest picks: Evolving Neural Networks in JAX

Towards Data Science

Understanding Evolved Policy Gradients

Towards Data Science

I work at Launchpad.AI. We have biweekly internal reading groups that focus on recent research papers in machine learning. Most recently, we looked at a new deep reinforcement learning (RL) algorithm…...

A preliminary inquiry into the limits of AI evolution

Towards Data Science

The reason for this essay has far less to do with making assertions or answering questions, and more to do with asking questions or clearing the ground for the foundations of assertions. It began…

Paper Repro: Deep Neuroevolution

Towards Data Science

“Deep Neuroevolution” showed that simple genetic algorithms can outperform advanced RL algorithms on Atari games. Let’s reproduce it!

From LeNet to EfficientNet: The evolution of CNNs

Towards Data Science

Convolutional Neural Networks, or just CNNs, is a commonly used shift-invariant method of extracting ‘learnable features’. CNNs have played a major role in the development and popularity of deep…

Evolution Strategies for Reinforcement Learning

Towards Data Science

In the last article, the goal that we set to ourselves was to optimize the Deep Q-Learning with prioritized experience replay, in other words, provide the algorithm with a bit of help judging what is…...

Evolutionary Computation: A hidden gem of CI

Towards Data Science

Defining AI leads to many arguments, so let’s talk about something concrete: Computational Intelligence. Three branches make up Computational Intelligence — Neural Networks, Evolutionary Computation…

RNNs and the Evolution of Attention

Analytics Vidhya

Predicting the future has been one of the most fascinating subjects that have been in practice and have evolved over a period of time. Especially in this information age, the development of modern…

Evolving Perfection: How Genetic Algorithms Boost Handwritten Digits Models

Python in Plain English

Can nature-inspired algorithms lead us to the ultimate handwritten digits recognizer? Photo by Uncle Leo on Shutterstock In the realm of machine learning, the task of recognizing handwritten digits h...