Deep learning network compression techniques have emerged as a crucial research area, aiming to reduce the computational and storage requirements of neural networks without significantly ...

Effective compression is about finding patterns to make data smaller without losing information. When an algorithm or model can accurately guess the next piece of data in a sequence, it shows it's ...

Deep Learning (DL) is, in essence, Machine Learning on steroids. It’s a specialized subfield that focuses on algorithms inspired by the structure of the brain, known as artificial neural networks.

The recently published book Understanding Deep Learning by [Simon J. D. Prince] is notable not only for focusing primarily on the concepts behind Deep Learning — which should make it highly a… ...