A from-scratch implementation of a feedforward neural network in C# (.NET 8) without using any machine learning frameworks.
A convolutional neural network (CNN) built from scratch using only NumPy to classify handwritten digits from the MNIST dataset.
A lightweight neural network framework in Python 🐍
neural network from scratch. ive implemented backpropagation from scratch using micrograd, which i build by scratch using karpathy's guide. also has optimizer, and coded a little one some manual approached to optimize using randomizing weights and biases.
Neural network from scratch to predict cirrhosis stages
Train a handwritten digit recognizer from scratch using a custom-built Artificial Neural Network (ANN) in NumPy. This project generates the model weights (model_weights.npz) used by the DigitRecognizerWebApp repo. Includes full training pipeline, real image testing, and activation flow visualization.
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