A PRACTICAL INTRODUCTION TO DEEP MACHINE LEARNING

Credit Hours: 3 · Graduate

Deep Machine Learning has recently made many advances in difficult perceptual tasks, including object and phoneme recognition, and natural language processing. However, the field has a steep learning curve, both conceptually and practically. The point of this course is to engage students by jumping into the deep end, and building their own architectures and algorithms. Cross-list: COMP 576 . Mutually Exclusive: Cannot register for ELEC 576 if student has credit for COMP 647 .