= Only a few places available! If you are interested in participating, please send an e-mail to info@rstrail.nl =

A practical, hands-on course!

In this course participants will:

• Become familiar with the theoretical underpinning of neural networks and convolutional neural nets;
• Learn to approach deep learning from a practical perspective;
• Take part in a lab where they will learn to apply deep learning and have ample time for hands-on experience;
• Learn to work with the Deep Learning frameworks ‘Tensorflow’ and ‘Keras’;
• Learn to structure their Deep Learning projects effectively;
• Learn to spot common problems in model fitting, and how to effectively fix them.

Active participation during the theoretical lectures is stimulated and encouraged.

Prerequisite
We assume a basis in the Python programming language. Materials and exercises are provided to familiarize yourself with Python.

Please find more detailed information in the course description.
TRAIL course Deep Learning Demystified – 2019

Lecturers: Dr. Jan van Gemert, Osman Kayhan & Paul van Gent

Course dates: 5 & 6 June 2019 – 10.00:16.00 h

Location: TU Delft, faculty IO

Room: Hall N – Bernd Schierbeek

ECTS: 1.5 (attendance, incl. preparatory assignments and lab sessions)

Participation: free for TRAIL/Beta/OML members and PhD students of participating faculties