Handwriting Recognition Software (Python/AI/kivy)

A Swift package to interact with IDX files

A small deep learning project

A basic Digit recognizer system tested on MNSIT's database of handwritten digits .

Using MNSIT as a training dataset, this model is trained to predict the handwritten digits.

Hand Written Digit Prediction Using Single Layer Neural Network

Used KMeans algorithm to perform imagery analysis or image classification. Also obtained the MNSIT database from Sci-kit Learn

Trained LeNet5 on MNIST with SGD and ADAM

A Variational Autoencoder (VAE) using PyTorch and trains it on the Fashion MNIST dataset.

All of the projects that I have went through not made by myself.

A very basic example of a neural network classification model using Keras.

This project builds a Convolutional Neural Network (CNN) model to recognize handwritten digits. The model is trained on a dataset of handwritten digits (like MNIST) and can accurately classify digits from 0 to 9.