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Syllabus
- Syllabus
Introduction to AI
Supervised Learning-1
Supervised Learning-2
- Introduction to Classification
- Logistic Regression
Deep Neural Networks
Convolutional Neural Networks
Scene Understanding
Transfer Learning
- Introduction to Transfer Learning
- Transfer Learning for Computer Vision Tutorial
Probabilistic Reasoning
Logical Reasoning
Planning without Interactions
Markov Decision Processes
Reinforcement Learning
Sequences and RNNs
Natural Language Processing
Math Background
Resources
CS-GY-6613 / CS370 Common Assignments
CS-GY-6613-INET-Assignments
Undergraduate Project
Graduate Projects
- Visual Prompting and Oclusion Handling for Remote Sensing Applications
- Natual Language Guided Robotics

Model-free control

Model-free control#

By Pantelis Monogioudis, Ph.D