Deep Learning Fundamentals on PyTorch


Deep Learning Fundamentals on PyTorch

A free introduction class to cover the fundamentals of Deep Learning with PyTorch will now be conducted. Register on this separate Eventbrite link for this workshop on June 20th, Saturday, from 10-11:30 am (Pacific Time Zone)

Register here:

Content: You will have access to all the notebooks, training material to build your own apps. You should be able to directly work on these using Google Colab. For the Workshop itself, we will have AWS instances available for use.

Lead Instructor: Ravi Ilango (Data Scientist)

If you are interested, you can sign up for a detailed 2-day Bootcamp workshop on Natural Language Processing state-of-art techniques to implement your own applications using natural language. This is one of the fastest-growing areas in Artificial Intelligence and a terrific skill to develop professionally in this space.

Organizer & SFBay ACM Prof Dev Chair: Yashesh Shroff twitter@yashroff

For more information about Registration, please contact SF Bay Chapter of the ACM, yshroff at g | m | a i l

We look forward to seeing you at the workshop!

Speaker Bio
Ravi Ilango is a Sr. Data Scientist working on a variety of revenue-generating projects for clients involving machine learning and deep learning. He has prior experience as a Sr Data Scientist at Apple for 10 years, and a Sr Program Manager at Applied Materials, among other things. He has an MBA from Santa Clara University, Aeronautics and Production Engineering degree from IIT, Madras, and a number of recent Stanford University ML and AI certificates.


Author: Sree Vaddi