Learn · AI driven Perception, Learning and Mapping for Drones
Lecture 41 of 48Week 11 Generative modeling and Reinforcement learning
Introduction to Generative modeling and Generative adversarial Networks
Prof. Suresh Sundaram and Prof. Aniruddh Sikdar · IISc Bangalore
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- AI driven Perception, Learning and Mapping for Drones, IISc Bangalore (at NPTEL)
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures
- Introduction to the course
- Introduction - 1
- Introduction -2
- Foundations in Neural Networks: Basic Concepts - 1
- Foundations in Neural Networks: Basic Concepts - 2
- Foundations of Neural Networks - Single Neuron Model - 1
- Foundations of Neural Networks - Single Neuron Model - 2
- Foundations of Neural Networks - Single Neuron Model - 3
- Foundations of Neural Networks - Single Neuron Model - 4
- Math for AI - 1
- Training Parameters: Part 1
- Training Parameters : Part 2
- Loss Functions
- Math for AI - 2
- Math for AI - 3
- Radial Basis functions
- Introduction to pytorch
- Math for AI - 4
- Math for AI - 5
- Introduction to CNNs - 1
- Introduction to CNNs - 2
- Foundation of Convolutional Neural Networks
- Math for AI - 6
- Tutorial on pytorch - 2
- Normalization techniques
- Feature visualization
- Popular CNN backbones
- Tutorial on pytorch - 3
- Math for AI - 7
- Sequential Learning with Feedback Networks and MNNs
- Sequential Learning with RNNs and LSTMs
- Sequential Learning with Attention mechanism
- Object detection-1
- Object detection-2
- Introduction to Semantic Segmentation - 1
- Semantic Segmentation-2
- Segmentation task-3
- Advanced Topics in Semantic Segmentation - 4
- Compressing and Structuring Representations: Knowledge Distillation and Contrastive Learning
- Learning Beyond Static, Single-Modal Data – 1
- Introduction to Generative modeling and Generative adversarial Networks
- Tutorial 1: Generative adversarial Networks
- Tutorial 2: Generative adversarial Networks
- Reinforcement Learning - Part 1: Foundations of Conventional RL
- Reinforcement Learning - Part 2: Deep RL
- Reinforcement Learning - Part 3: Deep RL Demo
- Sensor denied navigation, localication and mapping
- Distributed AI