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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