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.
Deep Learning (CS 515)
2021 Spring
Faculty of Engineering and Natural Sciences
Computer Sci.& Eng.(CS)
3
10.00
Ayşe Berrin Yanıkoğlu -berrin@sabanciuniv.edu,
Doctoral, Master
EE566 CS512
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Programs\Type | Required | Core Elective | Area Elective |
MA-European Studies | |||
MA-European Studies-Non Thesis | |||
MA-Political Science | |||
MA-Political Science-Non Thes | |||
MA-Visual Arts&Vis. Com Des-NT | |||
MA-Visual Arts&Visual Com Des | |||
MS-Bio. Sci. & Bioeng. LFI | |||
MS-Bio. Sci. & Bioeng. LFI-ENG | |||
MS-Biological Sci&Bioeng. | * | ||
MS-Business Analytics | |||
MS-Computer Sci.&Eng. LFI | |||
MS-Computer Sci.&Eng. LFI-ENG | |||
MS-Computer Science and Eng. | * | ||
MS-Cyber Security(with thesis) | * | ||
MS-Data Science | |||
MS-Elec. Eng&Comp Sc.LFI-ENG | |||
MS-Electronics Eng&Comp Sc.LFI | |||
MS-Electronics Eng&Computer Sc | * | ||
MS-Electronics Eng. | * | ||
MS-Electronics Eng. LFI | |||
MS-Electronics Eng. LFI-ENG | |||
MS-Energy Techno.&Man. | * | ||
MS-Industrial Eng. LFI-ENG | |||
MS-Industrial Engineering | * | ||
MS-Industrial Engineering LFI | |||
MS-Manufacturing Eng-Non Thes | * | ||
MS-Manufacturing Engineering | * | ||
MS-Materials Sci & Engineering | * | ||
MS-Materials Sci. & Eng. LFI | |||
MS-Materials Sci.&Eng. LFI-ENG | |||
MS-Mathematics | |||
MS-Mechatronics | * | ||
MS-Mechatronics LFI | |||
MS-Mechatronics LFI-ENG | |||
MS-Physics | |||
MS-Physics-Non Thesis | * | ||
MS-Psychology | |||
MS-Psychology-Non Thesis | |||
PHD-Biological Sci&Bioeng. | * | ||
PHD-Comp. Sci and Eng.after UG | * | ||
PHD-Computer Science and Eng. | * | ||
PHD-Cyber Security | * | ||
PHD-Electronics Eng&ComputerSc | * | ||
PHD-Electronics Eng. | * | ||
PHD-Electronics Eng. after UG | * | ||
PHD-Experimental Psychology | |||
PHD-Industrial Engineering | * | ||
PHD-Management | |||
PHD-Manufacturing Eng after UG | * | ||
PHD-Manufacturing Engineering | * | ||
PHD-Materials Sci.&Engineering | * | ||
PHD-Mathematics | |||
PHD-Mechatronics | * | ||
PHD-Mechatronics after UG | * | ||
PHD-Physics | |||
PHD-Physics after UG | |||
PHD-Social Psychology | |||
PHDBIO after UG | * | ||
PHDCYSEC after UG | * | ||
PHDEECS after UG | * | ||
PHDEPSY after UG | |||
PHDIE after UG | * | ||
PHDMAN after UG | |||
PHDMAN after UG-Finance | |||
PHDMAN after UG-Man. and Org. | |||
PHDMAN after UG-Op.&Sup. Cha. | |||
PHDMAN-Finance Area | |||
PHDMAN-Man. and Org. Area | |||
PHDMAN-Op. & Supp. Chain Area | |||
PHDMAT after UG | * | ||
PHDMATH after UG | |||
PHDSPSY after UG |