Deep Learning with Yacine on MSN
Digit recognition with deep learning — PyTorch beginner project
Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks ...
For about a decade, computer engineer Kerem Çamsari employed a novel approach known as probabilistic computing. Based on probabilistic bits (p-bits), it’s used to solve an array of complex ...
For the past few years, the recipe for building smarter artificial intelligence has been simple: make it bigger. Add more ...
Learn With Jay on MSNOpinion
Deep learning regularization: Prevent overfitting effectively explained
Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...
Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
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 ...
Compared to other regression techniques, a well-tuned neural network regression system can produce the most accurate prediction model, says Dr. James McCaffrey of Microsoft Research in presenting this ...
AI systems may not need vast amounts of training data to begin behaving more like the human brain, according to new research ...
New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers ...
This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
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