Followed book: Pattern Recognition and Image Analysis - Earl Gose, Richard Johnsonbaugh, Steve Jost
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Updated
Mar 24, 2018 - Java
Followed book: Pattern Recognition and Image Analysis - Earl Gose, Richard Johnsonbaugh, Steve Jost
Devnagari Handwritten Characters Dataset (DHCD)
This repo contains deep learning projects for beginners.
Handwritten Digit Recognition by MNIST
This Jupyter Notebook demonstrates the classification of handwritten digits using a Logistic Regression model.
This project implements a simple neural network for handwritten digit classification using the MNIST dataset and the Softmax activation function, built with PyTorch. The model is trained to recognize digits (0-9) based on pixel data from 28x28 grayscale images.
This is an example for how handwritten digits can be learnt with random forests
Code samples for Handwritten digit classification using pixel, dissimilarity and digit's unique features
A CNN trained using Keras on the MNIST dataset to recognize Handwritten Digits
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