A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...
Deep Learning with Yacine on MSN

Neural network from scratch in Java

Step-by-step guide to building a neural network entirely from scratch in Java. Perfect for learning the fundamentals of deep learning. #NeuralNetwork #JavaProgramming #DeepLearning ...
Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...
Rose Yu has a plan for how to make AI better, faster and smarter — and it’s already yielding results. When she was 10 years old, Rose Yu got a birthday present that would change her life — and, ...
Deep Learning with Yacine on MSNOpinion

What are 1x1 convolutions in deep learning – explained simply

Understand how 1x1 convolutions work and why they’re essential in modern neural network architectures like ResNet and ...
Scientists have developed a geometric deep learning method that can create a coherent picture of neuronal population activity during cognitive and motor tasks across experimental subjects and ...
WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...
A new forensic framework designed specifically for the Internet of Things (IoT) is discussed in the International Journal of ...
Researchers at the University of California, Los Angeles (UCLA), in collaboration with pathologists from Hadassah Hebrew ...