LARS and LAMB Optimizers
Parallelization schemes in Model Parallelism is problematic as sequential layers being parallelized across different accelerators leads to dependencies in t...
Read MoreParallelization schemes in Model Parallelism is problematic as sequential layers being parallelized across different accelerators leads to dependencies in t...
Read MoreTVM: An Automated Optimizing Compiler for Deep Learning Most deep learning framework operations are optimized for a narrow range of...
TensorFlow and MxNet are the two most widely used deep learning frameworks in the industry and have support for production-ready dep...