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Keeping Up With the Deep Learning Curve (Exclusive Applicant-Only Online Event)
By Emily Wilson • November 14, 2017
What: Keeping Up With the Deep Learning Curve by Julia Lintern, Metis Sr. Data Scientist
Where: Live Online Event
When: Dec. 7th, 6:30-7:30 pm ET
How: (CLOSED) Complete your application by Nov. 30th and receive an exclusive invite.
Deep learning. If you're interested in data science, you've probably heard of it – some of the most exciting research going on right now is in this area. But how do you gain a basic understanding of what's going on within all of those deep learning layers? And how do you get started with hands-on practice?
To begin answering these questions, anyone who completes their application to our data science bootcamp by November 30th will receive an exclusive invitation to hear Metis Sr. Data Scientist Julia Lintern present Keeping Up With the Deep Learning Curve, a talk to help the beginner-level data scientist navigate the deep learning landscape.
This exclusive, online event will be held on December 7th from 6:30 - 7:30 pm ET, complete with a Q&A session with Julia to follow. [Invitations will go out to all applicants who qualify via email on December 1st. Login details will be included then.] Julia will explain both the design theory and the code of some of today's most widely used deep learning algorithms, including convolutional neural nets and recurrent neural nets. Additionally, she'll discuss one of her own recent deep learning explorations that she completed during her "passion quarter" at Metis – an implementation of FashionNet involving a spin-off of Style Transfer. Complete your bootcamp application by 11/30 to receive your special invitation.
An image from Julia's project, for which she developed a deep learning model that can predict locations within a garment (left collar, right collar, etc.).
Top left: shows learning curve; top right: when the learning curve is turned counterclockwise, we see there is a magic staircase (aka a shortcut via Python libraries).
Attendees are encouraged to ask Julia questions related to her talk but are also welcome to ask her questions about the bootcamp experience itself. She's taught the bootcamp 5 times in New York City and is one of our most experienced instructors.
We hosted an AMA (Ask Me Anything) session on our Community Slack channel with Nathan Grossman, Data Scientist at Wells Fargo and instructor of our next Beginner Python and Math for Data Science course. Check out some highlights from the Q&A here.
Attending ODSC East & Accelerate AI in Boston April 30th - May 1st? If so, be sure to check out these trainings and talks from our team members. They'll cover probabilistic programming, how to build generative adversarial networks, and how to build an effective data science project portfolio for your business.
On the second day of our upcoming Demystifying Data Science live online conference, hear 8 talks + 3 interactive workshops, all designed for Business Leaders, Managers, and Practitioners to learn best practices to successfully integrate data science into an organization. In this post, check out a preview of just some of what's to come on Day 2, and start planning so you can take it all in.