Deep Machine Learning

Education facts

Code: 4DV661

The course covers concepts and methods from neural networks and deep learning. The following topics are covered: * Neural networks and convolutional neural networks. * Optimization in training deep learning models. * Regularization for deep learning. * Hyperparameter tuning. * Recurrent networks. * Long-short term memory. * Reinforcement learning.

Entry requirements

Courses at advanced level within the main field of computer science comprising at least 10 credits.

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 Machine Learning

  Linnaeus University (Kalmar Växjö)

  VÄXJÖ

  Start date: 29 March 2027

  End date: 6 June 2027

  Pace of study: 33 %