Simple neural network with backpropagation training
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Updated
Mar 20, 2023 - C#
Simple neural network with backpropagation training
A linear neural network from scratch using Numpy for training MNIST Dataset
Supervised learning training algorithms use for control of a CubeSat.
Ben Gurion University "Deep Learning (372.2.6101)" course assignments & solutions
An educational neural network library written using python, numpy, and minimal scipy functions
codes.
This repository contains the assignments of Artificial Intelligence course at Sharif University of Technology.
Development of a Neural Network from scratch to predict divorce in marriages.
My Implementation of well known DL architectures using PyTorch
Image classification Neural network made from scratch
🚀 Building a simple Neural Network to classify the images of the Fashion-MNIST dataset, using only NumPy and no TensorFlow, Keras, or PyTorch.
Neural network from scratch; image input optimize == image generation
Configurable Feed-Forward Backpropagation Neural Network in C++
Neural Network model from scratch for predicting daily Covid cases world wide with regularization
Implementing neural network backpropagation from scratch with numpy
An educational neural network visualization tool. Includes 2D input / output, heatmap, 3d output, and error graphing.
A single-layer neural network written from scratch that predicts the language of the text.
My first simple realization of Neural Network library by scratch, so you can use it in your projects (check the documentation in README). You can see an example how to use the library below.
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