Practical Course - Deep Learning from Scratch in C++ (IN2106, IN0012, IN4259)
Course 0000004058 in SS 2019
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab) |
| Lecturers |
Tobias Lasser Assistants: Theodor Cheslerean-Boghiu Josue Page Vizcaino Anca-Elena Stefanoiu |
| Dates |
Wed, 14:00–16:00, MI 03.13.010 and 3 singular or moved dates |
Assignment to Modules
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IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | In this lab course "Deep Learning from Scratch in C++" the focus is on implementing deep learning techniques from scratch in modern C++17, with the aim of solving an exciting real world problem in medical imaging. Starting from scratch, all of the heavy lifting required for deep learning is to be implemented in a modern, platform-independent C++17 library using the CMake build system, with Python bindings for actually using the library. You will be guided by the tutors in weekly or bi-weekly sessions during the term on what is required and expected in terms of functionality, and will incrementally implement all the necessary functionality. As the culmination at the end of the term, you will use your library to solve a real world problem in medical imaging. |
|---|---|
| Links |
Course documents E-Learning course (e. g. Moodle) TUMonline entry |