CS6910: Fundamentals of Deep Learning

Lecture 0: Logistics, Syllabus

Logistics

Course Instructor: Mitesh M. Khapra

Lecture Hours : Slot E - Tue 11 - 12, Wed 10 - 11, Fri 5 - 7 (no lecture on Thu*)

Course webpage: http://cse.iitm.ac.in/~miteshk/CS6910.html

TA details will be put up on the course webpage by weekend

Syllabus will be put up on the course webpage\(^+\)

All assigments will be posted on the course webpage

All announcements will be posted via moodle (please self enroll)

*because attendance in 8 am lectures is abysmal!                                                               \(^+\) For now, refer to http://cse.iitm.ac.in/~miteshk/CS7015.html

Syllabus

Feedforward Neural Networks, backpropagation, optimisation, tricks of the trade

Convolutional Neural Networks

Recurrent Neural Networks, Transformers (assignment)

RBMs, VAEs, GANs

Module 1

(Basics)

Module 2

(Images)

Module 3

(Sequences)

Module 4

(Generative)

Assignment 0

Assignment 1

Assignment 2

Assignment 3

Assignment 4

Evaluation Pattern

Assignments (70%)

Assignment 0: 10%

Assignment 1-4: 15% each

Online Quiz(zes) (30%)

Date: TBD

No deadline extensions: Instead, you will get 15 cheat days in the semester and you can choose how to utilise them!

Start working on assignments early (you were warned!)

आरम्भः

Let's Begin

Made with Slides.com