GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...
IEEE

Research on Software Design of Monitoring System Based on BP Neural Network

Abstract: A pier monitoring model based on GA-MIV-BP neural network is designed to solve the problem that the traditional pier monitoring method has low accuracy in predicting current scour depth, ...
Frontiers

MicrobiomeKG: bridging microbiome research and host health through knowledge graphs

1 Institute for Systems Biology, Seattle, WA, United States 2 School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR, United States The microbiome represents a ...
Hosted on MSN

What Is An Rnn? Recurrent Neural Networks Made Simple

in this video, we will understand what is Recurrent Neural Network in Deep Learning. Recurrent Neural Network in Deep Learning is a model that is used for Natural Language Processing tasks. It can be ...
IEEE

LMCNN: A Lightweight Attention-Based Modern Convolutional Neural Network Design for Runoff Prediction

Abstract: In the field of time series prediction, runoff prediction is a critical subfield. Accurate runoff forecasting is essential for optimizing water resource allocation and mitigating flood risks ...