Deep learning

Education facts

Code: DA603B

The course deals with: · artificial neural networks · deep vs. shallow neural networks · training neural networks · characterising the performance of artificial neural networks · convolutional neural networks (CNNs) · recurrent neural networks (RNNs) · reinforcement learning using neural networks · programming neural networks · autoencoders · ethical aspects

Entry requirements

A minimum of 135 credits including 60 credits in computer sciene, programming 22,5 credits, mathematics 22,5 credits and English 6 or the equivalent

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Deep learning

  Kristianstad University

  Kristianstad

  Start date: 9 November 2026

  End date: 17 January 2027

  Pace of study: 50 %