Hands-On Workshop: Accelerate PyTorch Applications Using Intel oneAPI Toolkit

Developers often struggle with high computational complexity, algorithmic challenge and inference of large neural networks while accelerating deep learning applications. PyTorch facilitates building deep learning projects by allowing the creation and training of deep neural networks and the ability to perform accelerated mathematical operations on dedicated hardware. PyTorch can be used to train a large amount of data at a rapid pace and is also flexible enough for experimentation and prototyping. However, the deployment of complex models with thousands to millions of parameters and large numbers of layers require heavy GPUs. The model can be pruned or quantised to optimise to a certain level. Intel oneAPI is introducing a hands-on approach to accelerate PyTorch applications and allow d