Vanilla neural network implemented in all major languages
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Updated
Oct 16, 2024 - Java
Vanilla neural network implemented in all major languages
A simple neural network in Rust to solve the XOR problem.
Neural network to compute XOR values in C using only the standard libraries
A basic neural network written in C++ that can calculate the expected output of an xor between two numbers.
My First homemade neural network
TorchSharpのClassのLoad、Saveのテスト
Complete introduction to deep learning with various architechtures. Maths involved is also included. Code samples for building architechtures is included using keras. This repo also includes implementation of Logical functions AND, OR, XOR.
[College Course] - Course: BITS F312 Neural Network and Fuzzy Logic
Some algorithms of machine learning like Regression, Cluster, Deep Learning, and much more.
🤖 Artificial intelligence (neural network) proof of concept to solve the classic XOR problem. It uses known concepts to solve problems in neural networks, such as Gradient Descent, Feed Forward and Back Propagation.
Simple neural network for solution this task
A NEAT library in Python
A multi-layer perceptron implementation using python and numpy for the XOR problem.
A Deep Neural Network that is able to accurately mimic an XOR gate. The goal of the Deep Network is to classify the input patterns according to the XOR truth table.
Classifier using the percetron to simulate the XOR gate
Implementation of Artificial Neural Networks in MATLAB and Python.
Implements a neural network learning XOR gate in your favourite languages !
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
Projects of the course Artificial Neural Networks by Dr. Mozayani - Fall 2019
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