Fundamentals of Deep Learning with Neural Networks - Jon Krohn

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Jon Krohn ( will provide an overview of deep learning with neural networks, with an emphasis on intuitive concepts, applications, and resources for self-study.

He will touch on basics like backpropagation, but it will not be a comprehensive 101. Via analogies to biological neurons and vision in primates, his primary goal is to provide an overview of the contemporary artificial neural network techniques.

Previous meetup in Data-Science + FinTech series:

Slides : Bayesian Modeling - qplum::events (

Speaker Bio : Jon ( is the Chief Data Scientist at untapt (, a machine learning-driven recruitment platform for FinTech firms. He previously worked as a quant trader at Northport Commodities and as a data scientist at Omnicom. He is a lover of ales who obtained his doctorate in Neuroscience at Oxford University as a Wellcome Trust Scholar and has published in influential peer-reviewed journals like NIPS, Neurology, and Nature Genetics.