Introduction to Pytorch, Using Dnns For Image and Text Classification, Regularization and Optimization, Hyper-parameter Tuning, Correct Working Practice, Using Cnns For Image Classification, , Using Different Architectures, Transfer Learning, Residual Networks, Generative Models For Image Synthesis, Introduction to Transformers, Controllable Generation, Introduction to Self-supervised Learning For Classification.

Faculty: Electrical and Computer Engineering
|Undergraduate Studies

Pre-required courses

(44102 - Safety in Ee Labs. and 44157 - Electrical Engineering Lab 1a and 46195 - Machine Learning)


Semestrial Information