Machine learning model deployment for training and execution has been an...
Sparse tensors arise in problems in science, engineering, machine learni...
Despite significant investment in software infrastructure, machine learn...
This work presents MLIR, a novel approach to building reusable and exten...
Deep learning models with convolutional and recurrent networks are now
u...
We define a second-order neural network stochastic gradient training
alg...
While Truncated Back-Propagation through Time (BPTT) is the most popular...
We examine the performance profile of Convolutional Neural Network train...