This is an introductory course on deep learning, a revolution
in AI that has made breakthroughs in many applications ranging from
image recognition, voice recognition, to natural languages
understanding, etc. The
course is aimed at helping AI practitioners at all levels to have a
deeper understanding of the fundamentals of this new technique through
various examples. Whenever possible visualizations are utilized to help
the audience to visually understand the training processing, what is
learned. We will also demonstrate how to use the Debugger that comes
from Tensorboard to debug neural networks that do not converge in
training.
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.
- Teacher: Weiguang Guan