Advanced Deep Learning (ADL)

Knowledge of

• Convolutional neural networks

• Recurrent neural networks

• Generative neural networks, such as

  • Variational autoencoders

  • Generative adversarial networks (GANs)

• Theory of deep learning

• Topics in deep learning, exemplified by

  • Fully convolutional neural networks

  • Graph neural networks

  • Representation learning

  • Diffusion models

  • Self-supervised learning

Skills to

• Select appropriate methodology to solve deep learning problems

• Implement selected deep learning algorithms using state-of-the-art tools

• Design and train deep learning algorithms

Competences to

• Reflect upon the capabilities and limitations of deep learning algorithms

• Recognise and describe possible applications of deep learning methodology

• Design, optimise and use advanced deep models

• Apply the learned methodology to applications in analysis of real-world data such as images, sounds and text

• Analyse deep learning algorithms