Course Information

Course Name	Turkish	Derin Öğrenme
	English	Deep Learning
Course Code	YZV 302E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	5	3	3	-	-
Course Language		English
Course Coordinator		Faik Boray Tek Faik Boray Tek
Course Objectives		1. To introduce main techniques in Deep Learning 2. To understand the mathematical principles of optimization and regularization of deep learning methods 3. To be able to design deep neural networks for various problems in artificial intelligence 4. To implement solutions to learning problems using various deep neural network techniques
Course Description		Course contents: Deep Learning, Neural Networks and Convolutional Neural Networks, Optimization and Regularization, Supervised and Unsupervised Methods, Discriminative Networks, Training of Networks, Deep Generative Networks, Adversarial methods, Classification applications, Recurrent Neural Networks, Temporal Prediction applications, Attention Mechanisms, Advanced deep learning techniques and applications.
Course Outcomes		Students who successfully complete this course will be able to: 1. Know and discuss the main problems, application areas and the techniques of deep learning 2. Describe, construct and use necessary mathematical tools in deep learning such as optimization, regularization etc. 3. Design various types of convolutional, fully connected and sequential neural networks and construct and run necessary procedures for training of deep neural networks and evaluate the results 4. Know and apply different mathematical formulations and solution techniques to supervised and unsupervised approaches in learning, specifically discriminative and generative network models 5. Implement computer realizations of deep learning applications
Pre-requisite(s)		Basic Machine Learning. Probability Theory.
Required Facilities		Computer with GPU
Other
Textbook		1) Understanding Deep Learning, Simon J.D. Prince, MIT Press, 2023 (Main textbook) 2) Deep Learning Foundations and Concepts, C. M. Bishop, H. Bishop, Springer 2024
Other References		1. Deep Learning with Python, F. Chollet, 2017, Manning. 2. Fundamentals of Deep LearningDesigning Next-Generation MachineIntelligence Algorithms, Nikhil Buduma, Reilly 3. neuralnetworksanddeeplearning.com

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