Product Development Lab project for 6th semester @ NIT-Rourkela
-
Updated
Oct 31, 2021 - C++
Product Development Lab project for 6th semester @ NIT-Rourkela
Implementation of Text Classifier in C++. This project focuses on implementing each stages of a text based classifier i.e. from preparing data (including tokenization, padding and creating embedded Matrix), and feed that to a MLP to see how it performance.
fluoroscopic automatic brightness control
This code shows how to test a trained MLP model which is an xml file. Training is done by opencv mlp module.
Implementation of a simple artificial neural network in the form of a perceptron, which can be trained on an open dataset and perform recognition of 26 handwritten letters of the Latin alphabet.
Add a description, image, and links to the mlp-classifier topic page so that developers can more easily learn about it.
To associate your repository with the mlp-classifier topic, visit your repo's landing page and select "manage topics."