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#104 - Prof. CHRIS SUMMERFIELD - Natural General Intelligence [SPECIAL EDITION]
Machine Learning Street Talk (MLST)
Introduction
The rise of machine learning and the deep learning revolution has been fueled by a premise that knowing is as or more important than thinking comes to building intelligence systems. So how do we, because neural networks were really revolutionary because rather than thinking, they learned how to ground and represent the knowledge in the world? How does that work? Well, so neural networks are just large systems that learn functions through tunable weights. And those weights find what they do is they express data by re-representing it in the internal representations of the system.
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