Robot is learning to avoid obstacles using neuronal network and backpropagation as learning algorithms
-
Updated
Mar 8, 2017 - C++
Robot is learning to avoid obstacles using neuronal network and backpropagation as learning algorithms
Implementation of a multilayer, feed-forward, fully-connected neural network trained using the gradient-descent based backpropagation algorithm
Automatically exported from code.google.com/p/neuralnethack
Four In A Row project for World Maker Faire 2018 - Ubuntu 18.04
Implementation of a neural network
Multi-layered Convolutional Neural Network written in C++11
artificial neural network.
A simple neural network to classify points generated using a sine function. Implementing backpropagation.
AI_Backpropagation Algorithm
In machine learning, Back Propagation is a widely used algorithm for training feedforward artificial neural networks. The project is designed to implement the algorithm in C-plus-plus.
Нейросеть для распознавания англоязычных букв
Add a description, image, and links to the backpropagation-learning-algorithm topic page so that developers can more easily learn about it.
To associate your repository with the backpropagation-learning-algorithm topic, visit your repo's landing page and select "manage topics."