Analytics Insight

Certified Data Science Professional (CDSP), United States Data Science Institute (USDSI)

The USDSI Certified Data Science Professional (CDSP) program equips learners with industry-ready skills in Data Science, ...
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 technology and inclusive education. In an attempt to close that gap, I developed a ...
Learn With Jay on MSN

Build a deep neural network from scratch in Python

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...
IEEE

Deep Learning-Based Control of Active Power Filters Using LSTM and GRU Networks for Harmonic and Frequency Estimation

Abstract: Deep Learning (DL) techniques provide a powerful tool enhancing the learning capabilities of the neural networks (NN), and are increasingly applied in the field of electric power systems. In ...
GitHub

Linshan-Ding/Graph_Neural_Network_FJSP

Implementation of the IEEE TII paper Flexible Job Shop Scheduling via Graph Neural Network and Deep Reinforcement Learning. IEEE Transactions on Industrial Informatics, 2022. @ARTICLE{9826438, author= ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
Frontiers

Review of deep learning models with Spiking Neural Networks for modeling and analysis of multimodal neuroimaging data

Medical imaging has become an essential tool for identifying and treating neurological conditions. Traditional deep learning (DL) models have made tremendous advances in neuroimaging analysis; however ...