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OSS 4005 [0.5 credit] Introduction to Deep Learning


Introduction to classification and regression. Optimization, vectorization, gradient descent, cost, loss and activation functions. Introduction and basics to AI, Artificial Neural Networks, forward and backward propagation, Multi Layer Perceptron, and other types of Deep Neural Network models, their applications in multimedia, networks, finance, etc.
Includes: Experiential Learning Activity
Also listed as IRM 4005.
Prerequisite(s): BIT 2000 and BIT 2400.
Lectures three hours a week.

Biology

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http://calendar.carleton.ca/undergrad/undergradprograms/biology/

...4002 , TSES 4003 , TSES 4005 , TSES 4006 , TSES...MECH, NET, NEUR, NSCI, OSS, PHYS, PLT, SREE...