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IEEE3y

Devanagari Character Recognition using Deep Convolution Neural Networks

Abstract: In the presented paper, a Deep Learning architecture for Devanagari handwritten character recognition is introduced. The dataset comprises of 94742 images of 58 distinct classes containing ...
GitHub6y

Image classification using three different convolution deep learning neural networks

There was an error while loading. Please reload this page. In this project, image classification is performed using three different types of deep convolutional neural ...
Frontiers1y

Stable tensor neural networks for efficient deep learning

Learning from complex, multidimensional data has become central to computational mathematics, and among the most successful high-dimensional function approximators are deep neural networks (DNNs).
Frontiers5y

A Deep-Learning-Based Real-Time Detector for Grape Leaf Diseases Using Improved Convolutional Neural Networks

Black rot, Black measles, Leaf blight and Mites of grape are four common grape leaf diseases that seriously affect grape yield. However, the existing research lacks a real-time detecting method for ...
IEEELíon na míonna: 11

Facial Expression Recognition Using Deep Convolution Neural Networks

Abstract: Facial Expressions are being used as a communication tool between humans and technology devices. Humans express their emotions through their body movements, facial expressions, speech, text, ...
GitHub1y

The project discussed is based on the Image classification problem using deep convolution neural networks.

Through web scraping using beautiful soup framework, happy and sad data is collected. The Source would be taking in the request URL and based on the source link would collect images in that webpage.