RKMVERI CS/BDA, Spring 2025 (3 credits)
Schedule
Here are the lecture videos which are updated after each lecture. Here are the mirror of the lecture videos which are updated periodically.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); Update on: 02-03-25 Deadline extended till 15-03-2025.
Find the best assignment/report
submission by Sanmitra Sur here
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 ]
26-02-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-11: Variational Auto-Encoders and theory [ Attendance | Notes ]
02-03-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-12: Variational Auto-Encoders and derivations - Variational Inference [ Attendance | Notes ]
08-03-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-13: K-means, Expectation Maximization, and Gaussian Mixture Models [ Attendance | Notes ]
16-03-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Guest Lecture by Saikat Dutta on "Open-vocabulary segmentation"
Lec-14: VAE using Expectation Maximization Algorithm
[ Attendance |
Notes ]
19-03-2025
9:00 P.M. - 12:00 A.M. (3.0 hrs)
Lec-15: Discussions and evaluations of Assignment-2 [ Attendance]
23-03-2025
9:00 P.M. - 11:00 P.M. (2.0 hrs)
Guest Lecture by Vaibhav Rathore on "When Domain Generalization meets Generalized Category Discovery: An Adaptive Task-Arithmetic Driven Approach"
Lec-16: Deep Learning based segmentation methods in Computer Vision
[ Attendance]
05-04-2025
9:00 P.M. - 12:00 P.M. (3.0 hrs)
Lec-16: Guest Lecture by Aniket Thomas on Multimodal Learning [ Attendance| Rough work]
20-04-2025
8:30 P.M. - 11:30 P.M (3.0 hrs)
Lec-17: Discussions and evaluations of Assignment-3 [ Attendance]
Total Hours: 54.5 hrs