Course10810800148 lectures

AI driven Perception, Learning and Mapping for Drones

Prof. Suresh Sundaram and Prof. Aniruddh Sikdar · IISc Bangalore

About

This course introduces the fundamental principles of deep learning, from shallow models to advanced neural networks, with a strong focus on aerial perception. Students will learn core CNN architectures, training strategies, and methods for object detection, segmentation, and generative modeling. The course also covers online learning, localization, 3D reconstruction, and deep reinforcement learning. Emphasis is placed on practical skills, including data annotation and model deployment using MATLAB and PyTorch

Intended audience: UG/ Working Professional

Prerequisites: Linear Algebra, Probability

Lectures

Week 1 Introduction

Week 2 Foundations of Neural Networks - Single Neuron Model

Week 3 Foundations of Neural Networks

Week 4 Foundations of Neural Networks

Week 5 Foundations of Neural Networks

Week 6 Foundations of Neural Networks

Week 7 Sequential Learning with Feedback Networks, RNNs, LSTMs, and Attention

Week 8 Fine-Grained Visual Tasks – 1

Week 9 Fine-Grained Visual Tasks – 2

Week 10 Advanced topics in Perception

Week 11 Generative modeling and Reinforcement learning

Week 12 Advanced topics in Perception

Syllabus and materials

At NPTEL, as the course publishes them.

Syllabus

Credits and licence

Institution: IISc Bangalore
Department: Electrical Engineering
Taught by: Prof. Suresh Sundaram, Prof. Aniruddh Sikdar
Level: Undergraduate
Language: English
Subjects: Engineering
Source: NPTEL
Licence: CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution: NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
Who can watch: NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed