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Vue d'ensemble

Sciences de la gestion : Introduction to deep learning, through its use of neura networks, to learn from data and tasks such as classification, forecasting, data generation. The basis of deep learning up to the applications of the most recent research. Use of deep learning in a production environment, and leveraging techniques such as: Keras, hyperparameter tuning, image classification methods, back propagation, LSTMs, and Autoencoders.

Terms: Été 2023

Instructors: Nayebi, Fatih (Summer)

• Prerequisite(s): (INSY 660 AND INSY 662) OR Instructor's approval) AND (MGSC 660 OR MGSC 661 OR Instructor's approval)