Basic Readings in Deep Learning
Lecturers and Teaching Assistants
Prof. Ronen Basri
Course Schedule and Location
Tuesday, 16:15 - 18:00, Ziskind, Rm 155
Field of Study, Course Type and Credit Points
Mathematics and Computer Science: Elective; 2.00 points
Course is intended for first year students. Priority will be given to students from the Math and CS faculty. Attendance is mandatory. Course requirements: at each class one student should lecture on a chapter from the course book, or other assigned reading material. All participants should read the presented chapter before class.
Attendance and participation
Estimated Weekly Independent Workload (in hours)
The course will cover basic concepts in deep learning by going through parts 2 and 3 of "Deep Learning" by Ian Goodfellow and Yoshua Bengio and Aaron Courville. Supplementary reading can be found in "Neural Networks and Deep Learning" by Michael Nielsen.
Become familiar with basic concepts in deep learning.
1. "Deep Learning" by Ian Goodfellow and Yoshua Bengio and Aaron Courville.
2. "Neural Networks and Deep Learning" by Michael Nielsen.