Deep Learning

Utbildningsfakta

Kod: 1RT720

This is a continuation course in machine learning, focusing on deep learning. It is divided in two modules: - Module 1: Deep learning fundamentals: Neural networks, backpropagation, optimisation, initialisation, and regularisation. - Module 2: Neural network architectures for - image data (model architecture: convolutional neural networks and residual networks), - sets and sequential data (model architecture: transformers), and - graph data (Model architecture: graph neural networks). The course consists of lectures, computer labs, hand-in assignments, helpdesks and a final exam.

Behörighet

120 credits. Participation in Statistical Machine Learning and a second programming course. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Utbildningstillfällen

Varje tillfälle har egna datum och villkor. Avslutade tillfällen behålls som historik och innebär inte att en ny ansökan är öppen.

• Deep Learning

  Uppsala University

  Uppsala

  Startdatum: 18 januari 2027

  Slutdatum: 21 mars 2027

  Studietakt: 33 %