Frontiers

Enhancing Bangla handwritten character recognition using Vision Transformers, VGG-16, and ResNet-50: a performance analysis

Bangla Handwritten Character Recognition (BHCR) remains challenging due to complex alphabets, and handwriting variations. In this study, we present a comparative evaluation of three deep learning ...
GitHub

vijaysai59/DEEP-LEARNING-PROJECT

This project implements a Convolutional Neural Network (CNN) to classify images using TensorFlow /Keras. It was created as part of Task 2 of the Data-Science internship assignment. Default dataset: ...
marktechpost

Building a Speech Enhancement and Automatic Speech Recognition (ASR) Pipeline in Python Using SpeechBrain

In this tutorial, we walk through an advanced yet practical workflow using SpeechBrain. We start by generating our own clean speech samples with gTTS, deliberately adding noise to simulate real-world ...
IEEE

Deep Learning Accelerator on FPGA Using Handwritten Digit Recognition for Example

Abstract: This paper presents an edge inference accelerator for deep learning application “Handwriting recognition” using field programmable gate array (FPGA). The parameter of the neuron network is ...
GitHub

This is a project for handwritten digits recognition system using image recognition deep learning.

First, we are using the full SVHN dataset, this dataset needs to be prepared, it contains multiple classes for folders, etc. the key to dealing with it is to be able to extract the images' ...
IEEE

Evaluating the Performance of Deep Learning Models in Handwritten Digit Recognition

Abstract: Handwritten digit recognition is an essential requirement in the field of computer vision, with applications ranging from processing bank checks to automated the postal system to ...