Traffic classification is a crucial task for network security. One of the most difficult challenges is to accurately identify the traffic of unknown applications as well as discriminate the known ...

(a) An illustrative map for Crack-Net, including the initial features, looping solver for data generation, model training, and prediction performance. (b) The Crack-Net architecture, which utilizes ...

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

Apple is silently releasing its Deep Learning framework as an open-source code, according to X user Delip Rao. The new MLX framework runs natively on Apple Silicon with a single pip install. According ...

Overview PyTorch courses focus strongly on real-world Deep Learning projects and production skills.Transformer models and NLP training are now core parts of mos ...

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 accessible ...