A simple Neural Network that learns to predict the XOR logic gates.
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Updated
Mar 6, 2018 - Jupyter Notebook
A simple Neural Network that learns to predict the XOR logic gates.
In this repository, I implemented a proof of concept of all my theoretical knowledge of neural network to code a simple neural network for XOR logic function from scratch without using any machine learning library
Vanilla neural network implemented in all major languages
XOR gate which predicts the output using Neural Network 🔥
Some algorithms of machine learning like Regression, Cluster, Deep Learning, and much more.
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
Simulation of an XOR neural network that provides 100% classification using the Backpropagation learning algorithm
exercises with neural nets
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Implements a neural network learning XOR gate in your favourite languages !
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Many different Neural Networks in Python Language. This repository is an independent work, it is related to my 'Redes Neuronales' repo, but here I'll use only Python.
Yapay Sinir Ağları
Using BackPropagation Algorithm to solve XOR.
Neural network to compute XOR values in C using only the standard libraries
Implementation of XOR Logic Gate using Simple Neural Network (Algorithm : Gradient Descent)
A multi-layer perceptron implementation using python and numpy for the XOR problem.
My First homemade neural network
Implementation of Artificial Neural Networks in MATLAB and Python.
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