deep learning

DEEP LEARNING

build and train deep neural network models

Thurs, Oct 17 | GSU Buckhead Campus, Tower Place 200 | 7:30 AM - 4:00 PM

Location: Registration in Lobby | Breakfast in 1201 | Workshop in Room #610

Deep Learning Basics

dive into the fundamentals of neural networks including Convolutional Neural Networks, Artificial neural networks, and recurrent neural networks

Fundamental Packages

get hands-on experience with the two most popular Python libraries: Tensorflow and Pytorch, and understand when to use each

skills + applications

take deep learning beyond the intuition and tools by applying these models to real-world scenarios, learning best practices for training, re-training, and sustainable deployment

OVERVIEW

This workshop will introduce the fundamentals of deep learning from the ground up.

Find out what Deep Learning is, why it is different (and better!), and how to use it effectively.

The workshop will cover several interesting applications along the way, including computer vision and natural language processing.

Practical notebooks using the PyTorch framework will also be covered, demonstrating how you can easily apply it to your problems.

EXPERIENCE LEVEL

Intermediate
%

AUDIENCE

Data Scientist
%

ZSOLT KIRA, PHD

BRANCH CHIEF, MACHINE LEARNING
GEORGIA TECH

Zsolt is a Senior Research Scientist at the Georgia Tech Research Institute, where he leads a group of researchers as the Chief of the Machine Learning and Analytics branch.

Dr. Kira serves as the Associate Director of ML@GT which is the machine learning center recently created at Georgia Tech.  He also recently accepted an offer to join Georgia Tech's School of Interactive Computing as an Assistant Professor in the College of Computing.

zsolt-background