Deep learning

Deep learning (DL) has been a driving force behind modern Artificial Intelligence. The remarkable success of DL in various applications has garnered significant attention and made it a highly sought-after skill across numerous industries. This unit will provide you with a comprehensive understanding of deep learning theory within the broader context of machine learning. Additionally, you will acquire practical skills to apply DL to real-world applications across a range of AI cognitive tasks, such as image and object recognition in computer vision and text classification using deep neural embeddings. The learning activities will focus on fundamental DL concepts, including neural networks (NN), convolutional NN, backpropagation, optimisation for deep learning, adversarial robustness, attention mechanism and transformers.