Advances in computing have been a boon to deep learning research. Thanks to near-limitless cloud computing resources, GPU clusters, and specialized AI, researchers have been able to design, train, test, and tweak deep neural networks at speeds that were previously impossible. Along with the ingenuity of a growing number of scientists, this speed and efficiency have helped usher in some of the most successful trends in deep learning in the past decade.
Self-attention for TinyML
Self-attention for TinyML
Self-attention for TinyML
Advances in computing have been a boon to deep learning research. Thanks to near-limitless cloud computing resources, GPU clusters, and specialized AI, researchers have been able to design, train, test, and tweak deep neural networks at speeds that were previously impossible. Along with the ingenuity of a growing number of scientists, this speed and efficiency have helped usher in some of the most successful trends in deep learning in the past decade.