Sparse Training of Neural Networks Using AC/DC

Sparse Training of Neural Networks Using AC/DC

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the cutting-edge "Alternating Compressed/DeCompressed (AC/DC) training of DNNs" in this 42-minute video from Neural Magic. Dive into the innovative AC/DC sparse training algorithm, which enables pruning of deep neural networks during training, resulting in streamlined and accelerated training workflows. Discover how AC/DC surpasses existing sparse training methods in accuracy, even at high sparsity levels, and sometimes produces sparse networks that outperform their dense counterparts. Gain insights into the background of training-aware sparsification and its advantages, understand the intricacies of the AC/DC algorithm and its underlying principles, and learn how to implement AC/DC on your own models for enhanced performance and accuracy. Access resources for optimal deep learning CPU performance and connect with the Neural Magic community for further discussions and support.