TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Hosted on MSN

Image Classification With Cnns In Keras — Full Code Walkthrough

In this video, we will implement Image Classification using CNN Keras. We will build a Cat or Dog Classification model using CNN Keras. Keras is a free and open-source high-level API used for neural ...
IEEE

FPGA Implementation of Cotton Leaf Disease Detection Using CNN

Abstract: The work done here focuses on developing an innovative method for identifying plant diseases using Convolution Neural Networks (CNN) on the PYNQ FPGA platform. One of the advantages of ...
GitHub

Uncertainty Quantification for Deep Learning in Sleep Apnea Detection

This repository contains the Python code for the Master's Thesis: "Uncertainty Quantification for Deep Learning in Sleep Apnea Detection: A Comparative Evaluation of Monte Carlo Dropout and Deep ...
GitHub

Python code to implement a Hybrid Neural network algorithm for sales prediction.

Notifications You must be signed in to change notification settings Sales Forecasting for Retail Stores using Hybrid Neural Network and Sales affecting Variables Overview This project implements a ...
IEEE

ASIC Implementation of Pre-Trained CNN for Image Classification Using GPDK90nm Technology

Abstract: This work presents the development of a custom convolutional neural network (CNN) architecture for image classification, efficiently implemented on a hardware platform such as the Raspberry ...
IEEE

Python to FPGA: Automatic Implementation of custom CNN Model on FPGA

Abstract: With the rapid development of artificial intelligence neural network technology, the architecture of convolutional neural networks (CNNs) has been evolving towards greater complexity and ...
IEEE

ASIC Implementation of Pre-Trained CNN for Handwritten Digit Detection Using GPDK90nm Technology

Abstract: This paper introduces a software and hardware-integrated method for handwritten digit recognition using a customized Convolutional Neural Network (CNN architecture. The process comprises two ...