CENG0039 Advanced Topics in Deep Learning

Genel Bilgi

Dersin Amacı / Hedefi

In this course, attendees will: Understand the context of neural networks and deep learning Know how to use a neural network Understand the data needs of deep learning Have a working knowledge of neural networks and deep learning Explore the parameters for neural networks

Dersin İçeriği

You do not need an extensive math background to understand neural network. In understandable steps, this course builds from a one node neural network to a multiple features, multiple output neural networks. All the steps are explained using working code to solve problems. After an understanding of how neural networks work and the parameters that control deep learning systems, Keras is introduced and used to simplify the building of deep learning neural networks. A convolutional deep learning neural network is built using Keras to show how deep learning is used in specialized neural networks. This course provides the necessary required background to understand ROI’s Time Series Analysis and Natural Language Processing courses.

Dersin Ön Koşulu

Yok

Kaynaklar

Y. Bengio, I. Goodfellow and A. Courville, “Deep Learning”, MIT Press, 2016.

Notlar

Çeşitli makaleler

Dersin Öğrenme Çıktıları

Program Öğrenme Çıktıları ile İlişkisi

Haftalık Akış

Öğrenci İş Yükü - AKTS