The talk will serve as an overview of Jon Krohn's upcoming Deep Learning course (http://nycdatascience.com/courses/deep-learning/) at NYC Data Science Academy, running from October 19th to December 7th. It will conclude with a book-signing featuring Jon's newly-published book, Deep Learning Illustrated - 5 copies will be given away to attendees.
Deep Learning algorithms have become unprecedentedly transformative across industry verticals and are now the state of the art across applications as diverse as image classification, natural language processing, generation of content, and game-playing. Almost unknown a few years ago, Deep Learning today powers countless everyday services from Tesla's Autopilot to Amazon Alexa’s voice recognition, and from Google Translate to superhuman ability at elaborate boardgames. Via analogy to biological neurons and the human brain, this talk is a highly visual introduction to Deep Learning. It features interactive demos and example code from all three of the leading open-source Deep Learning libraries: TensorFlow, Keras, and PyTorch.
6:00 - 6:30 pm - Food, Drinks and Mingling
6:30 - 6:40 pm - Hank, a student on the previous Deep Learning class cohort, will present on his capstone project and his experience taking the course
6:40 - 7:30 pm - Course Demo by Jon Krohn
7:30 - 8:00 pm - Q&A and Mingling
Jon Krohn (https://www.jonkrohn.com/) is Chief Data Scientist at the machine learning company untapt. He is the presenter of a popular series of tutorials on artificial neural networks, including (https://learning.oreilly.com/videos/deep-learning-with/9780134770826), and is the author of Deep Learning Illustrated (https://deeplearningillustrated.com), the acclaimed book released by Pearson in 2019. Jon holds a doctorate in neuroscience from Oxford University and has been publishing on machine learning in leading academic journals since 2010. He guest lectures at Columbia University and, along with researchers from the university's Irving Medical Center, holds a National Institutes of Health grant to automate medical image processing with deep learning.