Deep learning 2 (5 cr)
Code: C-02473-TT00CC67-3004
General information
- Enrolment period
- 18.08.2025 - 21.09.2025
- Registration for introductions has not started yet.
- Timing
- 01.08.2025 - 31.12.2025
- The implementation has not yet started.
- Credits
- 5 cr
- Institution
- Kajaani University of Applied Sciences
- Teaching languages
- Finnish
- Seats
- 0 - 10
- Course
- C-02473-TT00CC67
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