Mar 29, 2024  
School of Graduate Studies Calendar, 2020-2021 
    
School of Graduate Studies Calendar, 2020-2021 [-ARCHIVED CALENDAR-]

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CHEM ENG 789 / Deep Learning and Its Applications



Cross-listed as SEP 789  and MECH ENG 789  

Prerequisite(s): Working knowledge of one of the programming languages (Python, C++, C#, MATLAB).
Must be enrolled in CHEM ENG. However, permission will be granted to other students from other graduate programs with department consent.

Motivation and Paradigm. Convolutional Neural Network (CNN) architecture.  Training deep CNNs. Image classification with deep CNNs.  Recurrent Neural Network (RNN) architecture and training. RNN Extensions: Deep RNNs, Bidirectional RNNs, Long Short Term Memory (LSTM) networks.  RNN Applications in machine translation, language modelling, joint language and translation modelling.  Autoencoders. Deep Residual Networks. Generative Adversarial Networks (GANs). Real-world use cases.



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