From 7eec4b898baad5e7933ba904f139273623a6fe4c Mon Sep 17 00:00:00 2001 From: Vamsi Krishna Date: Wed, 7 Nov 2018 11:32:09 +0530 Subject: [PATCH] Fixed a typo (#21851) Changed 'nueroevolution' to 'neuroevolution' at one place. --- guide/english/machine-learning/neural-networks/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/guide/english/machine-learning/neural-networks/index.md b/guide/english/machine-learning/neural-networks/index.md index eb77115ddb..dd3255005a 100644 --- a/guide/english/machine-learning/neural-networks/index.md +++ b/guide/english/machine-learning/neural-networks/index.md @@ -50,7 +50,7 @@ There's an awesome tool to help you grasp the idea of neural networks without an The most common Neural Networks used today fall into the [deep learning](https://github.com/freeCodeCamp/guides/blob/master/src/pages/machine-learning/deep-learning/index.md) category. Deep learning is the process of chaining multiple layers of neurons to allow a network to create increasingly abstract mappings between input and output vectors. Deep neural networks will most commonly use [back propogation](https://github.com/freeCodeCamp/guides/blob/master/src/pages/machine-learning/backpropagation/index.md) in order to converge upon the most accurate mapping. -The second most common form of neural networks is nueroevolution. In this system multiple neural networks are randomly generated as initial guesses. Then multiple generations of combining the accurate most networks and random permutations are used to converge upon a more accurate mapping. +The second most common form of neural networks is neuroevolution. In this system multiple neural networks are randomly generated as initial guesses. Then multiple generations of combining the accurate most networks and random permutations are used to converge upon a more accurate mapping. ### Types of Neural Networks - Recurrent Neural Network (RNN)