Artificial Intelligence has re-emerged in recent years as the transformational technology for the digital age, and Deep Learning has emerged as one of its most promising techniques, as it helps to overcome many of the challenges associated with large volumes of data.
Start date: 21st May 2022
End date: 18th June 2022
Course schedule: Saturdays, 9.30 a.m./4 p.m.
Format: Online (via Zoom)
More information and applications.
Deep Learning is inspired by the way the human brain processes information and allows the use of large amounts of data to identify patterns, classify information and make decisions. This specialisation course introduces deep neural network-based learning and addresses the associated regularization, training and optimization. In addition to the Convolutional Neural Networks (CNNs), Recurrent Neural Networks and Long Short-Term Memory Networks (RNNs and LSTMs) are also introduced, discussing their different successful applications, along with their interpretability.
This course is part of the Specialisation Programme in Data Science for Engineers (DASH), as optional.
At the end of the programme, trainees are expected to be able to:
- Recognise the practical applicability of deep neural networks;
- Apply deep learning techniques to different types of data;
- Evaluate the results obtained with the trained models;
- Address the interpretability of the discovered models.