Kevin Webster

Kevin Webster is a Senior Teaching Fellow in the Department of Mathematics at Imperial College London. He obtained his PhD from Imperial College in 2003 in the field of dynamical systems. His research interests include adapting machine learning methods to numerical approximation problems in dynamical systems, and the application of machine learning and deep learning models to music, including music generation and music listening. He developed the core AI for the commercial music audio search engine Figaro.

Coursera

Imperial College London

Getting started with TensorFlow 2 (Coursera)

Data Science

Embark on a journey into the world of deep learning with our 'Getting Started with TensorFlow 2' course. This course is designed for beginners and intermediate learners who want to master the art of developing deep learning models using one of the most powerful machine learning frameworks available today. From constructing your first model to implementing advanced techniques, this course covers it all.

Jun 8th 2026

5-12 Weeks

Machine Learning Data Science APIs

Coursera

Imperial College London

Customising your models with TensorFlow 2 (Coursera)

Data Science

Dive into Customising Your Models with TensorFlow 2 and unlock the potential to create highly specialized deep learning models for any application. This course will guide you through developing intricate model structures, crafting bespoke layers, and establishing a versatile data handling system using TensorFlow's powerful lower-level APIs.

Jun 8th 2026

5-12 Weeks

Machine Learning Modeling APIs

Coursera

Imperial College London

Probabilistic Deep Learning with TensorFlow 2 (Coursera)

Data Science

Dive into the world of Probabilistic Deep Learning with this comprehensive course designed for those who have already grasped foundational concepts in deep learning with TensorFlow. This specialization focuses on teaching you how to incorporate probabilistic methods into your models using TensorFlow 2, enabling you to better handle noise and uncertainty in real-world applications such as autonomous driving or medical imaging.

Jun 1st 2026

5-12 Weeks

TensorFlow Deep Learning TensorFlow 2

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