People who have hearing loss can communicate through sign language. The sign language will subsequently be converted into text, specifically alphabets. This paper presents the specifically designed ...

Sign-Language-To-Text-and-Speech-Conversion ABSTRACT: Sign language is one of the oldest and most natural form of language for communication, hence we have come up with a real time method using neural ...

Dr. James McCaffrey of Microsoft Research details the 'Hello World' of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset.

The project focuses on translating American Sign Language into text using CNN model and OpenCV library of python. The training and testing of the model will done by classical convolutional neural ...

What Are Convolutional Neural Networks? Neural networks are systems, or structures of neurons, that enable AI to better understand data, allowing it to solve complex problems. While there are numerous ...

Deep Learning beginners quickly learn that Recurrent Neural Network (RNNs) are for building models for sequential data tasks (such as language translation) whereas Convolutional Neural Networks ...