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 Tensorflow. Basic Python knowledge is prerequisite to this course.
Live online classes will take place on Mon. Dec. 4, Friday. Dec. 8, and Mon. Dec. 11 from 1pm to 2pm Eastern Time. Recordings of live sessions will be available afterwards for self-paced learning.
- Teacher: Weiguang Guan
- Teacher: Nastaran Shahparian
- Teacher: Collin Wilson
Access is restricted to Digital Research Alliance of Canada (formerly Compute Canada) authenticated users only: Yes