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

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 ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

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 ...

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...