Aug 15, 2020  
2020-2021 Undergraduate Catalog 
    
2020-2021 Undergraduate Catalog
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CS 4277:Deep Learning

3 Class Hours 0 Laboratory Hours 3 Credit Hours
Prerequisite: CS 3642   Concurrent:
CS 4267  
This course covers the foundations of Deep Learning; how to build neural networks and how to design successful deep learning projects. The course topics include convolutional networks, sequence modeling such as recurrent and recursive neural networks (RNNs), long short-term memory (LSTM), Adam, Dropout, BatchNorm, Xavier/He initialization, state-of-the-art technologies, and research topics leveraging Deep Learning. The course includes programming assignments in Python and in TensorFlow.



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