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Lenet for MNIST handwritten digit recognition using Vivado hls tool

Verilog implementation of a pre-trained handwritten digit recognition simple neural network.

The purpose of this project is to take handwritten digits as input, process the digits, train the neural network algorithm with the processed data, to recognize the pattern and successfully identify the test digits. The popular MNIST dataset is used for the training and testing purposes. The IDE ... Read more

This project demonstrates Handwritten digit recognition using Deep Learning

Handwritten digit recognition.

Recognize handwritten multi-digit numbers using a CRNN model trained with synthetic data.

An iOS App that recognizes handwritten digits using Swift and TensorFlow Lite

A computer vision project, based on cimg library and svm training, to classify handwriting number.

An open source Verilog Based LeNet-1 Parallel CNNs Accelerator for FPGAs in Vivado 2017

A handwirtten arabic numerals recognition