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Computational Intelligence Course Project

Handwritten digit recognition in JavaScript using Convolutional Neural Networks

This repository is related to a video about principles of neural networks, which demonstrates how to write a simple neural network in 100 lines of code and implement handwritten digit recognition without using a framework. 这是一个与神经网络原理讲解视频, 相配套的项目, 演示在不使用框架的情况下, 用约100行代码编写简易的神经网络, 并借此实现手写数字识别.

Persian Handwriting Digit Recognition

A Convolutional Neural Network model created using PyTorch library over the MNIST dataset to recognize handwritten digits .

Handwritten digit recognition | 手写数字识别

Implemented a Convolutional Neural Network trained on MNIST for handwritten digit recognition, featuring a Tkinter GUI for interactive testing.

License Plate Recognition (LPR) dataset for Nepali motorbike license plate.

Training and testing done in Python, recognition web done in JavaScript.

A Verilog implementation of a hand-written digit recognition Neural Network