CmpE 597 Deep Learning 2017 Spring


Course Schedule: 

MMM 345 BM A5 | BM A5 | BM A5

Course Program: 

Catalog Description:

Convolutional neural networks. Autoencoders, their sparse, denoising variants, and their training. Regularization methods for preventing overfitting. Stacked autoencoders and end-to-end networks. Recurrent and recursive networks. Multimodal approaches. Deep architectures for vision, speech, natural language processing, and reinforcement learning.

Prerequisite: This is an advanced course on machine learning so you should have a good knowledge of the essential machine learning algorithms (Cmpe 544 and 545).


I Goodfellow, Y Bengio, A Courville (2016). Deep Learning, The MIT Press (see, and additional articles when necessary.


%30 In-class presentation

%40 Project

%30 Final exam

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Department of Computer Engineering, Boğaziçi University,
34342 Bebek, Istanbul, Turkey

  • Phone: +90 212 359 45 23/24
  • Fax: +90 212 2872461

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