CmpE 597 Deep Learning

Catalog Description: 

  • Introduction to Neural Networks
  • Convolutional Neural Networks
  • Training Neural Networks (activation functions, dropout, batch normalization)
  • Word Embeddings
  • Recurrent Neural Networks (RNNs, LSTMs, GRUs)
  • Visualizing and Understanding Neural Networks (Deep Dream, Neural Style Transfer)
  • Generative Models
  • Advanced Deep Learning Models

Credits: 

(3+0+0) 3 ECTS 8

Prerequisites: 

Consent of Instructor. Students are expected to have a medium level knowledge of essential machine learning algorithms. Undergrads and grad students who are new to machine learning are encouraged to take CMPE462: Machine Learning course.
Offering Course Page Instructor
CmpE 597 Deep Learning 2019 Spring Pınar Yanardağ
CmpE 597 Deep Learning 2018 Spring Ethem Alpaydın
CmpE 597 Deep Learning 2017 Spring Ethem Alpaydın

Contact us

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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