Schedule

Here are the lecture videos which are updated after each lecture.
Here is the grade sheet which is updated after each evaluation.
Here is the automatically generated attendance percentage updated after each lecture, the credited students should follow at least 75% attendance to get the grade. Please note that there are some students who left the course after enrollment, please don't consider their percentage.

15-01-2025
5:00 - 8:30 P.M. (3.5 hrs)
Lec-1: Overview of the course & General Introductions. [ Attendance | Notes | Lecture - 1 slides ]

Assignment-1 on ASCII art generation out! (Due on 05-02-2025)
02-02-2025: deadline extended till 10-02-2025.
Find the best assignment here by Pranab Kumar Mondal and here by Sushovan Pan for the best colored video generation

18-01-2025
9:00 P.M. - 12:30 A.M. (3.5 hrs)
Lec-2: Discuss about Pytorch/ Assignment-1 doubts clarifications. [ Attendance | Notes | Notebook-1 ]

22-01-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-3: Discuss about Pytorch (continuation)/ Assignment-1 doubts clarifications. [ Attendance | Notes | Notebook-2 ]

01-02-2025
9:00 P.M. - 12:30 A.M. (3.5 hrs)
Lec-4: Discussions about Sampling Techniques - Rejection sampling, Importance sampling, and Gibbs sampling. [ Attendance | Notes | Notebook-3 ]

02-02-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-5: Discussions about Sampling Techniques - Inverse Transform Sampling, Langevin Monte Carlo, Euler-Maruyama Sampling. [ Attendance | Notes | Notebook-4 ]

05-02-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-6: Discussions about Sampling Techniques - MALA, Metropolis Hastings and theory related to activations of layers. [ Attendance | Notes | Notebook-5 ]

08-02-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-7: Discussions about theory of Softmax, Cross-Entropy etc. [ Attendance | Notes ]

12-02-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-8: Discussions and Evaluations of Assignment-1 [ Attendance]

16-02-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-9: Building a Classification Pipeline from scratch using Pytorch [ Attendance | Notes | Notebook-6 ]

Assignment-2 on Classification (Due on 10-03-2025)

19-02-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-10: Parameter calculation in Deep Neural Networks [ Attendance | Notes | Notebook-7 ]

Total Hours: 31.5 hrs