CS-F425: Deep Learning

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We would conduct this course in online mode this semester. See this place to find regular updates.

Lecture Sehedule: Room-Number: 6103. Classes are now offline.
- Tue 12:00PM - 12:50PM
- Thu 12:00PM - 12:50PM
- Fri 5:00PM-5:50PM
Link to join LAB sessions: [googleMeet]
Course Handout: [pdf]
Prerequisite: NONE
NALANDA: is our Learning Management System (LMS) [link]
TAs: Abhijith S Raj , Abhishek Singh Thakur
Mid Sem Test: FN1 Nov 04, 2022
Comprehensive Exam: FN (8-11am) Dec 27, 2022
Participate in pre-course survey; the form is here.
Your FEEDBACK is very important to us! use this link to provide inputs.

LECTURES

Following lectures would be taken by Dr. Kamlesh. Dates, slide-handout and recorded lecture videos would be available as the course proceeds.

Course Handout: [pdf]

Lecture Room: 6103

Lecture-01: (30 Aug, 2022) Logistics and Introduction [pdf]

Lecture-02+03: (02+03 Sept, 2022) ML Basics, ML Convergence Proof [pdf]

Lecture-04+05: (06+08 Sept, 2022) Evaluation Parameters and Optimization [pdf]

Lecture-06: (09 Sept, 2022) Lagrange, LPP, KKT [pdf]

Lecture-07: (13 Sept, 2022) Optimization+Perceptron [pdf]

Lecture-08: (15 Sept, 2022) Introduction to Single Neuron [pdf]

Lecture-09: (16 Sept, 2022) Neural Network [pdf]

Lecture-10: (20 Sept, 2022) Delta Training Rule, and Activation Function [pdf]

Lecture-11: (22 Sept, 2022) Backpropogation [pdf]

Lecture-12: (23 Sept, 2022) Neural Weight Initialization [pdf]

Lecture-13: (27 Sept, 2022) Regularization for Neural Networks [pdf]

Lecture-14: (29 Sept, 2022) Loss Function for Neural Networks [pdf]

Lecture-15: (30 Sept, 2022) Optimizations For Neural NW [pdf]

STUDENTS

List of registered students is as below.

ABIN A (2019A4PS0530P)
ADITYA JOSHI (2021----1542P)
ADITYA MIHIR PATWA (2019A7PS0116P)
AKSHAY GOLA (2021H1120250P)
APAAR MAHESHWARI (2021H1120259P)
ARYA ABHAYA KULKARNI (2020A7PS1683P)
ATHARVA SUNDER RAMDAS (2020A4PS0515P)
BHARATH KRISHNAN H (2020A4PS1078P)
BHASKAR MANGAL (2021PHXP0473P)
BHAVY GOEL (2019B4A70586P)
DARSHIL JARIWALA (2020A7PS0985P)
DHANUSH SOMA (2020A7PS0050P)
DWIJ DIPAL MEHTA (2019A7PS0122P)
GRANDHI SURYA KOTESWARA RAO (2021H1030125P)
JAGMEET SINGH (2021H1120268P)
JATIN KUMAR SAXENA (2020ABPS0640P)
KARTIKEY SRIVASTAVA (2019A4PS0327P)
KULKARNI AADITYA PANDURANG (2021H1120251P)
KUMARESH MAJI (2019A1PS0945P)
KUSHAGRA BANSAL (2015A7PS0120P)
MANKAD SNEH VIHANG (2019A7PS0137P)
NAMAN LUTHRA (2020A7PS1682P)
NIDHEESH JAIN (2019A7PS0024P)
NIKHIL KUMAR SINHA (2020A3PS1785P)
NOAH GEORGE (2017B4PS0845P)
OMKAR SACHIN GOTHANKAR (2020A7PS0991P)
POPTANI ADITYA ANIL (2019A7PS0086P)
PRATINAV MONGIA (2020ABPS1575P)
PRATYUT SHARMA (2021H1120261P)
PRIYANSH VYAS (2021H1120267P)
PUNIT MAHESHWARI (2019A7PS0007P)
RAHUL BOURI (2020A4PS0468P)
RAHUL GANESH (2020A7PS1685P)
RISHABH PARMAR (2020A7PS0309P)
ROHAN MITTAL (2019A7PS0075P)
SAFDAR FAISAL (2020A7PS0095P)
SAHIL GUPTA (2019B3A70154P)
SAMARTHI LAHIRI (2021H1120273P)
SANDHYA S (2021H1120257P)
SHREYAS PANYAM (2019B4A70183P)
SHUBHAM HANDA (2020A3PS1786P)
SKANDA KUMAR B (2021H1120260P)
SONU DEVI (2021PHXP0448P)
SRIRAM RAMANATHAN (2020A7PS1209P)
SRISHTI DHARIWAL (2021H1120263P)
THOTA PHANEENDRA BABU (2021H1120258P)
VACHHANI CHIRAG MANOJ (2019A7PS0041P)
VATSAL AGARWAL (2019A3PS0254P)
VIBHA RAO (2019A7PS0132P)
YASHVARDHAN PRASAD (2020A2PS1775P)
YUVRAJ SINGH RAGHUVANSHI (2019A7PS0080P)

EVALUATION

All evaluation components are ment to be individual until it is specifically specified.

Schedule:

Course Handout: [PDF]
Mid-Semester Test: (weightage 25%) FN1 Nov 04, 2022
Class-Project: (weightage 15%: Data collection 10% + System Development 5%)
Lab Participation (weightage 10%) Best five
Term-Project: (weightage 15%)
Comprehensive Exam: (weightage 35%) FN (8-11am) Dec 27, 2022

Plagarism in any form would fetch serious penalty.

LAB SESSIONS

Attending and submitting all lab component is absolutely necessary for full understanding of the course.

Link to join LAB sessions: [googleMeet]
Lab-00: (self) Learn PYTHON [video] [colab-Code]
Lab-01: 2PM (11 Sept, 2022) Introduction to PyTorch and building a simple neural network [video] [colab-Code]
Lab-02: 2PM (18 Sept, 2022) CNNs and Image classification [video] [colab-Code]
Lab-03: 2PM (25 Sept, 2022) Computer vision problems and DL solutions [video] [colab-Code]
Lab-04: 2PM (02 Oct, 2022) RNNs and LSTMs for NLP
Lab-05: 2PM (09 Oct, 2022) Transformers for NLP and Vision
Lab-06: 2PM (16 Oct, 2022) GANs and Diffusion
Lab-07: 2PM (23 Oct, 2022) Miscellaneous topics (Multi-gpu training, Hyperparameter tuning, Deployment)