Summer Camp in Deep Learning, London

A new summer camp has been developed as part of the EDSA programme, highlighting the most important aspects of deep learning for data science projects. Ali Syed, founder and chief data scientist at Persontyle and key partner in the EDSA project, will be hosting the summer camp alongside a team from NVidia. You will practically learn everything you need to design, train, and integrate neural network-powered artificial intelligence into your applications with widely used open-source frameworks.

Overview of the subject

Deep learning is the most powerful machine learning technique right now. Companies such as Google, Microsoft, and Facebook are actively investing in and growing deep learning teams. For the rest of us however, deep learning is still a pretty complex and difficult subject to grasp. If you have a basic understanding of Deep Learning Summer Campwhat machine learning is, have familiarity with the Python programming language, and have some mathematical background then Deep Learning London Summer Camp will help you get started.

Deep learning is a hot topic in both academia and industry since it has recently dramatically improved the state-of-the-art in areas such as speech recognition, computer vision, predicting the activity of drug molecules, and many other machine learning tasks. The basic idea in deep learning is to automatically learn to represent data in multiple layers of increasing abstraction, thus helping to discover intricate structure in large datasets.

Deep Learning Summer Camp is great opportunity to learn fundamentals of deep learning, starting from definitions of neural networks and their learning criteria, specific aspects of deep networks, optimization, regularization, convolutional structures for image data, recurrent neural networks for sequence modelling, as well as supervised and unsupervised learning.

Corporate attendees: £ 700 + VAT, including course material as well as breakfast, lunch and coffee service on all days. Student attendees: £350 + VAT (50% Discount)

More information and registration available at