Akademik Dersler - Tanıtım


Code - Course Title	YZM3002 - Deep Learning
Course Type	Required Courses
Language of Instruction	İngilizce
Laboratory + Practice	3+0
ECTS	6.0
Course Instructor(s)	DOKTOR ÖĞRETİM ÜYESİ NİHAL İNCE
Mode of Delivery	This course is offered exclusively in an in-person format.
Prerequisites	There are no prerequisites or co-requisites for this course.
Courses Recomended	There are no other recommended courses related to this one.
Required or Recommended Resources	Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press. Zhang, A., Lipton, Z. C., Li, M., & Smola, A. J. (2023). Dive into deep learning. Cambridge University Press.Chollet, F. (2021). Deep learning with Python (2nd ed.). Manning Publications. Géron, A. (2022). Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems (3rd ed.). O'Reilly Media.
Recommended Reading List	Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep learning. MIT Press. Zhang, A., Lipton, Z. C., Li, M., & Smola, A. J. (2023). Dive into deep learning. Cambridge University Press.Chollet, F. (2021). Deep learning with Python (2nd ed.). Manning Publications. Géron, A. (2022). Hands-on machine learning with Scikit-Learn, Keras, and TensorFlow: Concepts, tools, and techniques to build intelligent systems (3rd ed.). O'Reilly Media.
Assessment methods and criteria	2 midterm exams, 1 final exam
Work Placement	This is not suitable for this class.
Sustainability Development Goals

Weeks	Topics
Week - 1	Multi Layer Perceptron, Backpropagation, Optimizers. Keras.
Week - 2	Advanced CNN Architectures: VGG, Inception, ResNet.
Week - 3	Transfer Learning and Fine-Tuning.
Week - 4	Object Detection. The R-CNN Family.
Week - 5	The YOLO Architecture.
Week - 6	Semantic Segmentation. The U-Net Architecture.
Week - 7	Recurrent Neural Network. The Sequence-to-Sequence (Seq2Seq) Architecture.
Week - 8	The Attention Mechanism.
Week - 9	Introduction to The Transformer Architecture
Week - 10	BERT/GPT and Masked Language Modeling.
Week - 11	Transformer Applications: Text Classification with the Hugging Face Library (Fine-tuning).
Week - 12	Generative Models: Autoencoders (AEs) and Variational Autoencoders (VAEs).
Week - 13	Generative Adversarial Networks (GANs).
Week - 14	The DCGAN Architecture.

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