Learn · Artificial Intelligence: Concepts and Techniques
Lecture 49 of 58Week 10 Deep Learning Hands-on and Models
Practical session - 3
Prof. V. Susheela Devi · IISc Bangalore
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- Artificial Intelligence: Concepts and Techniques, 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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- Tweens profiles and older. How courses are placed
All the lectures
- Course overview & Introduction
- History & Applications of AI
- Agents and Environment
- General Problem Solving
- Introduction to Search Strategies
- Uninformed Search Strategies - I
- Uninformed Search Strategies - II
- Informed Search Strategies - I
- Informed Search Strategies - II
- Adversarial or Game-Playing Search
- Game-Playing Search
- Introduction to Genetic Algorithms
- GA Operators
- Genetic Programming
- Knowledge-Base Agents
- Proposotional Logic
- Predicate Logic - 1
- Predicate Logic - 2
- Inference in Predicate Logic
- Inference in First Order Logic
- Introduction to Expert Systems
- Applications of Expert Systems
- Introduction to Planning
- Planning Graph
- Planning and Scheduling
- Knowledge Representation
- Non Monotonic Reasoning
- Representation Schemes - 1
- Representation Schemes - 2
- Uncertanity in Knowledge Representation
- Bayesian Network
- Dynamic belief networks (DBN)
- Utility Theory
- Decision Theory - 1
- Decision Theory - 2
- Introduction to Learning
- Learning Algorithms
- Learning Algorithms
- Ensemble Learning
- Introduction to Neural Networks
- Multilayer Perceptron Neural network
- Hypothesis Learning
- Practical session - 1
- Practical session - 2
- Introduction to deep learning
- Datasets for DL
- CNN and introduction to RNN
- RNN & LSTMs
- Practical session - 3
- Practical Section - 4
- Practical Section - 5
- Generative AI
- Fuzzy Sets and Systems
- Fuzzification and Defuzzification methods
- Natural Language Processing
- Ethics in AI
- Swarm Intelligence
- Multi agent systems