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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4.26
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Clear Expectations
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3.96
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Learned a Lot
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4.23
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Fair Assessments
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