Evolving Neural Networks

Evolving Deep Neural Networks

Towards Data Science ad72f08cd2797a9fd94193cd23b616427a796aa8_0

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.

Evolving Neural Networks

Towards Data Science 8375ec2ead4b05524d1a6a890ffb324c7ed327d0_0

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…

The Evolution of Neural Networks: Kolmogorov-Arnold Networks

Level Up Coding 27dc8b50654d469c2ceee7dbac50c24037fbf58d_0

Introduction K olmogorov–Arnold Networks (KANs) are an innovative approach to neural networks, inspired by the Kolmogorov-Arnold representation theorem. Unlike traditional Multi-Layer…

New to Neural Networks?

Analytics Vidhya 25e8317d7abae8dc0548454946edfff5473fd62d_0

Neural Networks have been around for a while now. Warren McCulloh and Walter Pitts wrote a paper all the way back in 1943 pondering the inner workings of neurons in animals and proposed a way to…

Two Fundamental Neural Network Anatomical Structures

Towards Data Science 2f457902b828e2bd021c79218913ef2d860a7633_0

Like other organisms, artificial neural networks have evolved through the ages. In this post, we cover two key anatomies that have emerged: fully-connected versus convolutional. The second one is…

Using the metrics behind the Neural Networks for predicting software evolution

Towards Data Science 53785b63427897a38496b2aa972d24aa88486141_0

The Asimov Institute had publish this post showing us the different kinds of networks shown in the picture below. Neural networks are hot now, but the idea of representing knowledge in this way come…

Neural Networks From the Ground Up (Part 1)

Towards Data Science 1633f9371037ce3a583712f80c952bdc19615579_0

Everyone knows that neural networks are amazing. In the past two decades neural nets have gone from an experimental method to the most widely used machine learning technique we have today. It’s also…

Evolving a Neural Network in a sparse reward environment

Towards Data Science 9e775c46e5359401da3316c601c383ece1afcb3a_0

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...

Unit 3 Application) Evolving Neural Network for Time Series Analysis

Towards Data Science 6d140a4ea085c7e5575090814d32d7052edfb533_0

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…

Neuroevolution — evolving Artificial Neural Networks topology from the scratch

Becoming Human: Artificial Intelligence Magazine c6e8b0668639400d3a296536ef59881e8137ddff_0

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.

An Introduction to Artificial Neural Networks

Towards Data Science 3e863a6a0902204b6410aa49bbc59b6beded5256_0

Artificial Neural Network (ANN) is a deep learning algorithm that emerged and evolved from the idea of Biological Neural Networks of human brains. An attempt to simulate the workings of the human…

The Evolution of Neural Networks: From NN to CNN and RNN (1980s–1990s) Explained with Python Code…

Python in Plain English 11e5b3ce7972a80fe38a61797e49921db6742f64_0

A rtificial intelligence has grown a lot over the years, but its story starts in the 1980s and 1990s when scientists began exploring neural networks. These networks, which are modeled after the human ...