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Jutten, 'Multimodal data fusion: An overview of methods, challenges, and prospects,' Proc. Calhoun, 'Multimodal data fusion using source separation: Fu, 'Diversity in independent component and vector analyses: Pre-requisites Basic matrix algebra, probability and statistics, and background in estimation theory is desirable but not required.
Thus, not surprisingly, machine learning is at the center of artificial intelligence today. And deep learning--essentially learning in complex systems comprised of multiple processing stages--is at the forefront of machine learning.
The lectures will provide an overview of neural networks and deep learning with an emphasis on first principles and theoretical foundations. The lectures will also provide a brief historical perspective of the field. Applications will be focused on difficult problems in the natural sciences, from physics, to chemistry, and to biology.
Introduction and Historical Background. Underfitting, Overfitting, and Tricks of the Trade. Compressive and Expansive Autoencoders.
Learning in the Machine.
Local Learning and the Learning Channel. Recursive and Recurrent Networks. Inner and Outer Approaches. Applications to Chemistry Molecules, Reactions, etc.
Pre-requisites Basic algebra, calculus, and probability at the introductory college level. Some previous knowledge of machine learning could be useful but not required. The long term focus of his research is on understanding intelligence in brains and machines. He has made several contributions to the theory of deep learning, and developed and applied deep learning methods for problems in the natural sciences such as the detection of exotic particles in physics, the prediction of reactions in chemistry, and the prediction of protein secondary and tertiary structure in biology.Summary In this talk I begin noticing that while ignoring the crucial role of temporal coherence, the formulation of most of nowadays current computer vision recognition tasks leads to tackle a problem that is remarkably more difficult than the one nature has prepared for humans.
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Structure of the LLM. At LSE Law, you will be able to choose from a wide variety of courses in composing the subject matter of your degree. The LLM programme is designed to give you flexibility to either expand your horizon and engage with diverse legal areas, or alternatively focus on a particular subject area and obtain a specialist LLM degree.
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