CSI 5340 Introduction to Deep Learning and Reinforcement Learning

3 units
Computer Science
Faculty of Engineering
Fundamental of machine learning; multi-layer perceptron, universal approximation theorem, back-propagation; convolutional networks, recurrent neural networks, variational auto-encoder, generative adversarial networks; components and techniques in deep learning; Markov Decision Process; Bellman equation, policy iteration, value iteration, Monte-Carlo learning, temporal difference methods, Q-learning, SARSA, applications. This course is equivalent to COMP 5340 at Carleton University.

Components:

Lecture

Previously Offered Terms:

Fall

Organized

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4.19

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Clear Expectations

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Learned a Lot

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Fair Assessments

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4.38

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