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CS 515 Deep Learning

Spring 2026-2027 · 3 SU credits · 10 ECTS · Graduate

This course covers the theory and foundations of Artificial Neural Networks (ANN) and various ANN architectures, such as the single and multi- layer perceptrons, Hopfield and Kohonen networks, and deep learning architectures (convolutional neural networks, autoencoders, restricted Boltzman machines, recurrent networks and LSTMs, and generative adversarial networks). Students will be expected to develop systems for machine learning problems from the computer vision and natural language understanding areas.

Needs first CS 512 or EE 566

Lecture — CS 515

CS 515 — Sabancı Üniversitesi Spring 2026-2027 ders programı: section'lar, saatler, derslikler, CRN'ler ve syllabus bağlantıları.