OCR for numbers in the MNIST dataset using various ML techniques.
-
Updated
Jul 22, 2015 - Python
OCR for numbers in the MNIST dataset using various ML techniques.
All my machine learning projects and tests.
Feed forward neural network using Numpy for MNIST classification.
Naive Implementation of PyTorch framework to solve the MNIST-Digit_Recognition Problem
An MNIST dataset classifier implemented from scratch in NumPy.
NumPy-based feed-forward neural network
MNIST classifier with a graphical user interface and a canvas for drawing the digits, doing classifying in real time
MNIST Classification with Convolutional Neural Networks
Performing Handwritten Digit Classification on MNIST dataset using PyTorch-Lightning
Artificial neural networks processed with Tensorflow
Deep learning demos using MNIST data set with multiple neural network models
Handwritten Digit Recognition by MNIST
A CNN for MNIST Dataset in Python
MNIST classifier with tensorflow and a 2 hidden layer deep neural network
This repo hold CV models for the Classification of single digit images. I used Pytorch and the Digit-Recognizer kaggle dataset for the training.
Add a description, image, and links to the mnist-classifier topic page so that developers can more easily learn about it.
To associate your repository with the mnist-classifier topic, visit your repo's landing page and select "manage topics."