Practical Deep Learning (CSC)

This course gives a practical introduction to deep learning, including common neural network architectures such as convolutional, recurrent and transformer models. Also covered are GPU computing and tools to train and apply deep neural networks for natural language processing, images, and other applications.

The course consists of lectures and hands-on exercises using PyTorch. Participants will get to run exercises on the GPU-accelerated LUMI - Europe's fastest supercomputer!

Prerequisites

Participants are assumed to have working knowledge of Python and suitable background in data analysis, machine learning, or a related field. Previous experience in deep learning is not required, but the fundamentals of machine learning are not covered on this course. Basic knowledge of a Linux/Unix environment will be assumed.