Tech Xplore on MSN

VFF-Net algorithm provides promising alternative to backpropagation for AI training

Deep neural networks (DNNs), which power modern artificial intelligence (AI) models, are machine learning systems that learn ...
EE World Online

How does deep learning actually work?

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of ...
Deep Learning with Yacine on MSN

Highway Networks – Deep Neural Network Explained

Explore Highway Networks, a neural network architecture designed to improve training of deep networks. Concepts and examples ...
Deep Learning with Yacine on MSN

20 Activation Functions in Python for Deep Neural Networks – ELU, ReLU, Leaky-ReLU, Sigmoid, Cosine

Explore 20 different activation functions for deep neural networks, with Python examples including ELU, ReLU, Leaky-ReLU, ...

GXIG: Seeking To Unlock Value Using AI In Investment Management

GXIG’s deep learning model is trained through a four-step process designed to establish an optimal architecture for analysis ...
Ars Technica

How a stubborn computer scientist accidentally launched the deep learning boom

During my first semester as a computer science graduate student at Princeton, I took COS 402: Artificial Intelligence. Toward the end of the semester, there was a lecture about neural networks. This ...

WiMi Studies Quantum Dilated Convolutional Neural Network Architecture

WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global Hologram Augmented Reality ("AR") Technology provider, today announced that active exploration is underway in the ...