Deep Learning / Spring 1398 (2019)


Course Description

This graduate course is a dive into applied deep learning. The students will learn how to implement and train neural networks in a variety of tasks across image, sound, and text processing. As a prerequisite, the students are expected to have a basic knowledge of neural networks and be familiar with the concepts behind their structure and training (backpropagation, etc).

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Course instructor

Mohammad Taher Pilehvar

Teaching Assistants