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

CS6910: Lecture 0

By Mitesh Khapra

CS6910: Lecture 0

Logistics, Syllabus

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