Fundamentals of Artificial Intelligence, Machine Learning, Neural Networks & Deep Learning
Artificial Intelligence:
Code Generation
Image Generation
Semantic Network
Rule-based Systems
Autonomous Robotics
Work Flow automation
Heuristic Search
Text Processing
Machine Learning:
Partitioning Methods
Feature Extraction
Deductive reasoning
Classification trees
Instance based learning
Probabilistic classifiers
Kernel Machines
Boosting
Q-learning
Deep Networks
Neural Networks:
Convolutional Neural Networks
Sequential Networks
Kernel Based Networks
Kohonen Networks
Memory Networks
Adversarial Networks
Auto Associators
Single Layer Networks
Deep Learning:
Deep Q-Networks
Probabilistic Generative Models
Self Attention Models
Convolutional Neural Networks
Memory Networks
Pretext Learning
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