Followed book: Pattern Recognition and Image Analysis - Earl Gose, Richard Johnsonbaugh, Steve Jost
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Mar 24, 2018 - Java
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handwritten-digit-classification
Here are 11 public repositories matching this topic...
This project implements a CNN for handwritten digit classification on the MNIST dataset using PyTorch. It uses stacked convolutional layers with dropout, batch normalization, and max pooling to classify 28×28 grayscale digits (0–9) with Softmax output.
deep-learning pytorch mnist mnist-classification convolutional-neural-networks gradio handwritten-digit-recognition softmax mnist-classifier cnns max-pooling multi-class-classification mnist-handwriting-recognition handwritten-digit-classification digit-recognition-mnist digit-classifier digit-classification gradio-interface
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Oct 13, 2025 - Python
Devnagari Handwritten Characters Dataset (DHCD)
machine-learning handwritten-digits training-materials character-recognition handwriting-recognition nepali-numeral nepali-character-recognition handwritten-digit-classification handwritten-character-recognition devnagari-manuscript
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Aug 21, 2018 - Jupyter Notebook
This repo contains deep learning projects for beginners.
nlp tensorflow keras neural-networks mnist-dataset seq2seq deeplearning neural-machine-translation transfer-learning cifar10 keras-tensorflow kaggle-dataset handwritten-digit-classification resnet18 bank-customer-churn potato-disease-classification tf-data-pipeline
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Aug 1, 2023 - Jupyter Notebook
Handwritten Digit Recognition by MNIST
machine-learning keras mnist mnist-classification mnist-dataset matplotlib python-3 handwritten-digit-recognition keras-tensorflow mnist-classifier mnist-handwriting-recognition handwritten-digit-classification matplotlib-pyplot
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Sep 18, 2022 - Python
This is an example for how handwritten digits can be learnt with random forests
machine-learning computer-vision random-forest machine-learning-algorithms supervised-learning handwritten-digits handwritten-numeral-recognition handwritten-digit-recognition random-forest-classifier random-forest-algorithm handwritten-digit-classification
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Nov 30, 2017 - Jupyter Notebook
This project implements a neural network to classify handwritten digits (0–9) using the MNIST dataset. The model is built with TensorFlow/Keras and achieves high accuracy on test data. It demonstrates key ML concepts: data preprocessing, model design, training, evaluation, and visualization of predictions.
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Jun 10, 2026 - Python
Code samples for Handwritten digit classification using pixel, dissimilarity and digit's unique features
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Apr 2, 2018 - MATLAB
A CNN trained using Keras on the MNIST dataset to recognize Handwritten Digits
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Apr 9, 2020 - Jupyter Notebook
This Jupyter Notebook demonstrates the classification of handwritten digits using a Logistic Regression model.
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Aug 9, 2024 - Jupyter Notebook
This repository compares a CNNtention model with ResNet18 models and with other models in handwritten digit classification
attention-mechanism handwritten-digit-recognition cnn-model resnet-18 handwritten-digit-classification
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Apr 22, 2026 - Python
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