Jan 29, 2020  
Rensselaer Catalog 2018-2019 
    
Rensselaer Catalog 2018-2019 [Archived Catalog]

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ECSE 6850 - Introduction to Deep Learning


Deep learning fundamentals and applications in artificial intelligence. Topics include machine learning foundation, linear regression and classification, deep neural networks, convolutional neural networks, recurrent neural networks, generative adversary neural networks,  Bayesian neural networks, deep Boltzmann machine, deep Bayesian networks, and deep reinforcement learning.

Prerequisites/Corequisites: Prerequisites:  ECSE 2500, MATH 2010, and CSCI 1200.

When Offered: Spring term annually.



Cross Listed: ECSE 4850. Students cannot obtain credit for both this course and the cross listed course.

Credit Hours: 3



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