Deep learning 2 (5 cr)

Objectives (course unit)

The student can apply the methods used in deep learning in the Keras/TensorFlow environment. In addition, the student knows how to use GPU computing and CSC supercomputers in the training of neural networks and can use already trained neural networks in a web browser.

Content (course unit)

- Use of Keras/TensorFlow environment - Distributed training on multiple GPUs - The use of CSC's supercomputers in the training of neural networks - Basics of large language models (LLM). - Running neural networks in different environments (deployment) - Implementation of a trained neural network in a web browser - MLops basics - Artificial intelligence and ethics

Prerequisites (course unit)

Deep learning 1

Assessment scale

0 - 5