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Harry Potter & NN’s with Gradient Optimizations Methods
December 26, 2018 @ 11:00 am - 1:00 pm +04
About the Event:
During this lecture, the speaker will shortly cover the fundamentals of neural networks, while talking about auto-differentiation and computational graphs. He will proceed with complete explanation and derivation of modern methods, ideas, and tricks that utilize functional gradients.
About the Speaker:
Erik Arakelyan (CS 18) is a Machine Learning engineer completing his MSc at University College London. As of now, he is primarily interested in NLP and variational methods in ML. Arakelyan was formerly employed at Wolfram R&D as a software Engineering Consultant in the Signal Processing team and also at Teamable as a Machine Learning Engineer.
Language: English