Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...

This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. With their millions and billions of numerical parameters, deep ...

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...

A new technical paper titled “LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training” was published by researchers at DGIST (Daegu Gyeongbuk Institute of Science ...

AI training and inference are all about running data through models — typically to make some kind of decision. But the paths that the calculations take aren’t always straightforward, and as a model ...