Deep Learning / Fall 1398 (2019)
Announcements
- New Lecture is up: Transformer and BERT [slides]
- New Assignment released: [Assignment #3 - Transfer Learning and Sequence to Sequence models]
- New Lecture is up: Advanced Models [slides]
- New Lecture is up: Processing Text and Sequential Data [slides]
- New Lecture is up: Generative Deep Learning [slides]
- New Assignment released: [Assignment #2 - Image task and Visualization]
- New Lecture is up: Fundamentals of Machine Learning [slides]
Course Description
This 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).
Register to our Google groups page to get course notifications via email.
Course instructor
Mohammad Taher Pilehvar
Teaching Assistants
Amir Khakpour
Amir Mohammad Kazemeinizadeh
Samin Fatehi
