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.

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Customising your models with TensorFlow 2 (Coursera)

Welcome to this course on Customising your models with TensorFlow 2! In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model [...]

Getting started with TensorFlow 2 (Coursera)

Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving [...]

Probabilistic Deep Learning with TensorFlow 2 (Coursera)

Welcome to this course on Probabilistic Deep Learning with TensorFlow! This course builds on the foundational concepts and skills for TensorFlow taught in the first two courses in this specialisation, and focuses on the probabilistic approach to deep learning. This is an increasingly important area of deep learning [...]