Deep Learning
Programme course instance, 6 Credits
- Period : 2026-March-30 until 2026-June-07
- Location: Campus Karlskrona
- Type of instruction: Campus, day-time, forty percent 40%
- Main field of study: Electrical Engineering
- Language of instruction: English
- Education level: A1N
- Application code: BGDFH
- Course code: ET2638
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This course is part of a programme and cannot be applied.
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Deep Learning, 6 Credits
Deep learning methods are widely applied across various fields in engineering, such as computer vision, signal processing, and remote sensing. The purpose of the course is to introduce students to neural networks and deep learning fundamentals for various applications such as classification, detection, and signal reconstruction. In addition, this course discusses various architectures such as Convolutional Neural Networks (CNNS), Recurrent Neural Networks (RNNS), and Autoencoders.
