Deep Learning Webinar Series

The Deep Learning Webinar Series focuses on the key ideas, historical development, and future direction of deep learning, including applications of deep learning in today’s data science landscape.

Deep learning represents the cutting-edge of machine learning in the design of intelligent systems that learn from complex, large-scale datasets. In recent years, interest in deep learning has escalated as emergent developments have enabled computers to perform tasks that were previously believed to be limited to human capabilities of perception, cognition, and effort.

Previous Events

Daniel Gillick
Jul 28, 2017, 12:00 pm to 1:00 pm
Daniel Gillick is a research scientist at Google, where he focuses on natural language processing. 
Vartika Singh
Jul 21, 2017, 12:00 pm to 1:00 pm
Vartika Singh is a data science architect at Cloudera.
Lina Nilsson
Jul 11, 2017, 12:00 pm to 1:00 pm
Lina Nilsson is a biochemical engineer and the COO of Enlitic, a medical deep learning company.
Dr. James G. Shanahan
Jul 6, 2017, 12:00 pm to 1:00 pm
Using lens of reverse mode autodiff, with examples and Jupyter notebooks in Python and TensorFlow.
Richard Socher
Jun 20, 2017, 12:00 pm to 1:00 pm
Richard Socher is the chief scientist at Salesforce and researches artificial intelligence (deep learning, natural language processing, and computer vision)
Prabhat, National Energy Research Scientific Computing Center
May 23, 2017, 12:00 pm to 1:00 pm
Deep learning has enabled major breakthroughs in the fields of computer vision, speech recognition, and control systems.