Deep Learning for Optical Character Recognition (Wintersemester 2022/2023)
Lecturer:
Prof. Dr. Tobias Friedrich
(Algorithm Engineering)
,
Dr. Sarel Cohen
(Algorithm Engineering)
,
Vanja Doskoc
(Algorithm Engineering)
Further information on contents, examination and dates are available here:
Course Website:
https://hpi.de/en/friedrich/teaching/ws22/dl4ocr.html
General Information
- Weekly Hours: 4
- Credits: 6
- Graded:
yes
- Enrolment Deadline: 01.10.2022 - 31.10.2022
- Examination time §9 (4) BAMA-O: 28.02.2023
- Teaching Form: Project / Seminar
- Enrolment Type: Compulsory Elective Module
- Course Language: English
- Maximum number of participants: 4
Programs, Module Groups & Modules
- ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-T Techniken und Werkzeuge
- ISAE: Internet, Security & Algorithm Engineering
- HPI-ISAE-S Spezialisierung
- SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-T Techniken und Werkzeuge
- SAMT: Software Architecture & Modeling Technology
- HPI-SAMT-S Spezialisierung
- CODS: Complex Data Systems
- HPI-CODS-T Techniken und Werkzeuge
- CODS: Complex Data Systems
- HPI-CODS-S Spezialisierung
- SYSE: Systems Engineering
- HPI-SYSE-K Konzepte und Methoden
- SYSE: Systems Engineering
- HPI-SYSE-T Techniken und Werkzeuge
- SYSE: Systems Engineering
- HPI-SYSE-S Spezialisierung
- Digital Health
- HPI-DH-DS Data Science for Digital Health
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-T Technologies and Tools
- SCAD: Scalable Computing and Algorithms for Digital Health
- HPI-SCAD-S Specialization
- MALA: Machine Learning and Analytics
- HPI-MALA-C Concepts and Methods
- MALA: Machine Learning and Analytics
- HPI-MALA-T Technologies and Tools
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