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Modeling Evolution with Tensorflow.js

neuroevolution

evolution

NEAT

hyperNEAT

neural network

backpropagation

gradient descent

evolutionary algorithms

genetic algorithms

uber

deep learning

machine learning

artificial intelligence

AI

neural net

siraj raval

python

coding

programming

Автор: Siraj Raval

Загружено: 2018-06-08

Просмотров: 26770

Описание: Neuroevolution is a technique that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, topology and rules. We can think of it as an optimization strategy, similar to gradient descent, that can in some cases be faster to converge and give better results. We're going to simulate evolution by creating neural network creatures in javascript and having them evolve over time to try and walk across the screen. I'll discuss the steps that our algorithm will take, then code out the neural network class at the end of the video.

Code for this video:
https://github.com/llSourcell/Modelin...

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Modeling Evolution with Tensorflow.js

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