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HU Credits:
2
Degree/Cycle:
2nd degree (Master)
Responsible Department:
Computer Sciences
Semester:
2nd Semester
Teaching Languages:
English and Hebrew
Campus:
E. Safra
Course/Module Coordinator:
Amit Daniely
Coordinator Office Hours:
Teaching Staff:
Prof Amit Daniely
Course/Module description:
The course will discuss advanced topics in learning theory. This year we will focus on neural network theory
Course/Module aims:
Study modern research techniques and results in learning theory
Learning outcomes - On successful completion of this module, students should be able to:
Use the tools covered in class to read and do research in learning theory
Attendance requirements(%):
0
Teaching arrangement and method of instruction:
Lectures
Course/Module Content:
1. Basic Concepts in Learning Theory - Generalization and Computational Complexity
2. Generalization of Neural Networks
3. Computational Complexity of Neural Networks
Required Reading:
None
Additional Reading Material:
None
Grading Scheme :
Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 100 %
Additional information:
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