Akademik Dersler - Tanıtım


Code - Course Title	İST5502 - Deep Learning with Python
Course Type	Elective Courses
Language of Instruction	Türkçe
Laboratory + Practice	3+0
ECTS	7.5
Course Instructor(s)	DOÇENT DOKTOR ÖZER ÖZDEMİR
Mode of Delivery	The mode of delivery of this course is Face to face.
Prerequisites	There is no prerequisite or co-requisite for this course.
Courses Recomended	There is no recommended optional programme component for this course.
Required or Recommended Resources	Python ile Derin Öğrenme, François Chollet(Çeviri: Bilgin Aksoy), Buzdağı Yayınları, 2021.
Recommended Reading List	Deep Learning – Ian Goodfellow, Yoshua Bengio, Aaron Courville, MIT Press, 2016.
Assessment methods and criteria	Writen exam
Work Placement	N/A
Sustainability Development Goals

Weeks	Topics
Week - 1	Introduction to Python and Basic Structures
Week - 2	Control Structures and Functions
Week - 3	NumPy and Mathematical Operations
Week - 4	Data Analysis with Pandas
Week - 5	Data Visualization and Preparation
Week - 6	Introduction to Deep Learning with Python
Week - 7	First Model with Keras and TensorFlow
Week - 8	Activation Functions and Optimization
Week - 9	Convolutional Neural Networks with Python
Week - 10	Regularization and Dropout
Week - 11	Transfer Learning and Pretrained Models
Week - 12	Recurrent Neural Networks with Python
Week - 13	Model Evaluation and Hyperparameter Tuning with Python
Week - 14	Deep Learning Application with Python

Assessment Method and Passing Requirements
	Quamtity	Percentage (%)
Toplam (%)		0