Introduction to Deep Learning (online workshop)

Workshop web site:

Alliance account is required for registration.

A revolution in AI has made breakthroughs in many applications ranging from image recognition, voice recognition, to natural languages understanding, etc. This course module aims at helping AI practitioners to understand the fundamentals of deep learning through examples, e.g. to visually understand the training processing, what is learned, the bias-variance tradeoff, etc. Examples are given in both Tensorflow and PyTorch.

Prerequisites: Basic Python knowledge.

The live sessions will take place on Mon., Feb. 13; Wed., Feb. 15; and Thurs. Feb. 16 from 4pm to 5pm Eastern Time.

Recordings and exercises will be also available for self paced learning.

No tickets available.