This course is an introduction to deep learning, the current most promising field of machine learning. We will illustrate the basic concepts of machine learning and the new trends, together with a discussion on past unfruitful approaches. Our aim is to enable the student to get acquainted with and to take advantage of deep learning methodologies, and hopefully to become able to design tasks to be run on cluster machines. The course will also focus on practical sessions dedicated to the introduction of the widely used TensorFlow framework.
By the end of the course each student should be able to:
- understand the key features of deep learning
- understand some use cases
- using basics of TensorFlow
Researchers and programmers interested in using deep learning.
Knowledge of the basic fundamentals of machine learning and python language is useful but not necessary.
The lunch for the three days will be offered to all the participants and some grants are available. The only requirement to be eligible is to be not funded by your institution to attend the course and to work or live in an institute outside the Roma area. The grant will be 300 euros for students working and living outside Italy and 150 euros for students working and living in Italy (outside Roma). Some documentation will be required and the grant will be paid only after a certified presence of minimum 80% of the lectures.
Further information about how to request the grant, will be provided at the confirmation of the course: about 3 weeks before the starting date.
Coordinating Teacher: Dr. S.Tagliaventi