OCR for numbers in the MNIST dataset using various ML techniques.
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Updated
Jul 22, 2015 - Python
OCR for numbers in the MNIST dataset using various ML techniques.
Deep learning demos using MNIST data set with multiple neural network models
A CNN for MNIST Dataset in Python
Feed forward neural network using Numpy for MNIST classification.
MNIST classifier with tensorflow and a 2 hidden layer deep neural network
Artificial neural networks processed with Tensorflow
MNIST classifier with a graphical user interface and a canvas for drawing the digits, doing classifying in real time
Naive Implementation of PyTorch framework to solve the MNIST-Digit_Recognition Problem
All my machine learning projects and tests.
This repo hold CV models for the Classification of single digit images. I used Pytorch and the Digit-Recognizer kaggle dataset for the training.
An MNIST dataset classifier implemented from scratch in NumPy.
Handwritten Digit Recognition by MNIST
Performing Handwritten Digit Classification on MNIST dataset using PyTorch-Lightning
MNIST Classification with Convolutional Neural Networks
NumPy-based feed-forward neural network
Mnist handwritten digit classifier from scratch using numpy only and also with CNN-tf. The aim is to make the models of almost equal accuracy.
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