UCL x DeepMind Deep Learning Lecture - Sequences and Recurrent Networks

UCL x DeepMind Deep Learning Lecture Series - General

UCL x DeepMind Deep Learning Lecture Series - Sequences and Recurrent Networks by Marta Garnelo

UCL 

UCL Centre for AI is partnering with DeepMind to deliver a Deep Learning Lecture Series.Talk summary:In this lecture we will focus on sequential data and how machine learning methods have been adapted to process this particular type of structure. We will start by introducing some fundamentals of sequence modeling including common architectures designed for this task such as RNNs and LSTMs. We will then move on to sequence-to-sequence decoding and its applications before finishing with some examples of recent applications of sequence models.Speaker bio: Marta is a Research Scientist at DeepMind working on deep generative models and meta learning. During her time at DM she has worked on Generative Query Networks as well as Neural Processes and recently her research focus has shifted towards multi-agent systems. In addition she is currently wrapping up her PhD with Prof Murray Shanahan at Imperial College London where she also did an MSc in Machine Learning.Please note recordings and photography will be taken throughout this lecture.

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UCL x DeepMind Deep Learning Lecture - Sequences and Recurrent Networks

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UCL x DeepMind Deep Learning Lecture - Sequences and Recurrent Networks

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