BILL 8210 |
Supervised Deep Learning Methods |
4+0+0 |
4 |
Level of Course |
Post graduate - Special Topics |
Department |
Computer Engineering |
Lecturer |
Asst. Prof. Dr. Murat Aykut |
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Course
Syllabus |
Week |
Subject |
Related Notes / Files |
Week 1 |
Intro
to Deep Learning, Modular Learning |
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Week 2 |
Neural
Nets and Backpropogation |
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Week 3 |
Shallow
Neural Networks |
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Week 4 |
Foundations
of Convolutional Neural Networks (CNN) |
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Week 5 |
Batch
Normalization, Parameter / Hyperparameter Tuning in CNN |
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Week 6 |
Convolutional
Neural Network Architectures |
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Week 7 |
Convolutional Neural Network Architectures |
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Week 8 |
Recurrent
Neural Nets |
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Week 9 |
Midterm
exam |
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Week 10 |
Recurrent
Neural Nets |
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Week 11 |
Energy-Based
Models for Supervised Learning |
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Week 12 |
Long Short-Term Memory |
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Week 13 |
Transfer Learning |
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Week 14 |
Deep Learning with Tensorflow |
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Week 15 |
Deep Learning with Tensorflow |
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Week 16 |
Final
exam |
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