Discover how machine learning is reshaping modern science. This course provides a practical introduction to deep learning, with a focus on real-world applications and hands-on experience.
This course is offered by Helmholtz AI in cooperation with HIDA
This online course will introduce you to machine learning. The potential applications of deep learning methods to natural science research are numerous, including detector development, data analysis techniques, and even physical modelling. These techniques will be essential to ensure the highest-quality and impactful scientific results from existing and future experimental works.
The basic course is for you if you do know Python and have been introduced to machine learning. Enroll if you want to learn the basics of deep learning in a short block course. The introductory course will be based on pytorch and equip the participants with basic tools necessary to begin implementing and using DL methods. It will involve some theoretical descriptions but focus on hands-on exercises and discussions in the tutor group.
Learning goals
After this course, learners can embark on classification and regression projects using pytorch and should be able to transfer their knowledge to other platforms, such as TensorFlow or Keras.
Prerequisites
If you want to enroll in this course, we expect you to bring along knowledge of the Python language as taught the courses "Kickstart Python" and “First Steps in Python”. We also assume that you have acquired the content of “Introduction to Machine Learning”.
Target group
This course targets researchers interested in machine and deep learning.
This course is free of charge.
