GitHub

Domain-Adversarial Training of Neural Networks (DANN)

This project implements Domain-Adversarial Training of Neural Networks (DANN) by modifying the ResNet50 Convolutional Neural Network (CNN). DANN is a domain adaptation technique that enables a neural ...
GitHub

Neural Networks and Deep Learning

B.E. CSE at Osmania University (2014-2018) and M.Tech CS / AI at SSSIHL. - saikrishnavadali05/Academic-CSE-Osmania-SSSIHL ...

Introduction to Deep Learning Short — Peek Inside to Understand (68 Parts Total)

Neural networks are called "black boxes." This means that while you get an answer when you input data, you cannot see what is happening inside.However, you can peek inside smaller networks. What is a ...
BIOENGINEER

Graph neural network model learns design element links for sharper style transfer

A new study proposes a graph neural network tuned by a modified zebra optimization algorithm that models relationships among ...
BIOENGINEER

Hybrid Deep Learning Model Detects Intrusions in Wireless Sensor Networks

A new framework combining reinforcement learning and Siamese convolutional networks with blockchain-secured routing reports ...

Ben Affleck Explains How He Writes Code and Gets VIP Access to Top AI Labs

Ben Affleck writes Python, understands convolutional neural networks, and used his celebrity status to get private looks at ...