Online learning (5 cr)

Objective

The student knows how to create a neural network for online learning, as well as enable it on the server and publish it. The student can adjust the hyperparameters of the neural network so that the neural network learns more from user data. (E.g. recommender neural networks or congestion predicting neural networks.)

Evaluation scale

0 - 5

Assessment criteria, excellent (5)

A grade of 5 requires completing and returning all course exercises, as well as a commendable reflection on the exercises.

Assessment criteria, satisfactory (1)

For a grade of 1, it is required that the returned course exercises show that the student knows how to use a ready-made neural network in an online environment.

Prerequisites

Deep learning 1
Deep learning 2