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handwritten-digits-recognition's Introduction

REAL-TIME HANDWRITTEN RECOGNITION

Python

Overview

Connecting multiple neurons and popular backpropagation algorithm to build a powerful Neural Network architecture to solve complex problem, to be more specific, Handwritten Recognition. Furthermore, OpenCV library is also applied for processing real-time Handwritten image in order to create data(convert image to MNIST format) for the MLP model to predict the label (0-9) digits.

Demo

Recommendation App

How backpropagation work in this project one-hidden layer MLP?

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MODEL PERFORMANCE

* Loss function coverge after each epoch
* The training accuracy: 97.8
* The testing accuracy: 95.83

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