2nd International Summer School on 
 Deep Learning 2018 

 23th — 27th July 2018, Genova, Italy 
Organized by
University of Genova
IRDTA - Brussels/London
Registration Course Description


DeepLearn 2018 will be a research training event with a global scope aiming at updating participants about the most recent advances in the critical and fast developing area of deep learning. This is a branch of artificial intelligence covering a spectrum of current exciting machine learning research and industrial innovation that provides more efficient algorithms to deal with large-scale data in neurosciences, computer vision, speech recognition, language processing, human-computer interaction, drug discovery, biomedical informatics, healthcare, recommender systems, learning theory, robotics, games, etc. Renowned academics and industry pioneers will lecture and share their views with the audience.19

Most deep learning subareas will be displayed, and main challenges identified through 2 keynote lectures, 24 six-hour courses, and 1 round table, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Interaction will be a main component of the event.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and recruitment profiles.

Addressed to

Master's students, PhD students, postdocs, and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, DeepLearn 2018 is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen and discuss with major researchers, industry leaders and innovators.


3 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.


DeepLearn 2018 will take place in Genova, the capital city of Liguria, inscribed on the UNESCO World Heritage List and with one of the most important ports of the Mediterranean. The venue will be:

Porto Antico di Genova
Centro Congressi

Address: Magazzini del Cotone – Module 10
16128 Genova, Italy

Keynote speakers To be completed.

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Professors and courses To be completed.

Pierre Baldi University of California, Irvine intermediate/advanced
Deep Learning: Theory, Algorithms, and Applications to the Natural Sciences

Joachim M. Buhmann Swiss Federal Institute of Technology Zurich

Li Deng Citadel

Michael Gschwind IBM Global Chief Data Office introductory/intermediate
Deploying Deep Learning at Enterprise Scale

Björn Schuller Imperial College London intermediate/advanced
Deep Learning for Signal Analysis

Johan Suykens KU Leuven introductory/intermediate
Deep Learning and Kernel Machines

Kenji Suzuki Tokyo Institute of Technology introductory/advanced
Deep Learning in Medical Image Processing, Analysis and Diagnosis

Gökhan Tür Google Research intermediate/advanced
Deep Learning in Conversational AI

Ming-Hsuan Yang University of California, Merced intermediate/advanced
Learning to Track Objects

Yudong Zhang Nanjing Normal University introductory/intermediate
Convolutional Neural Network and Its Variants

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Open Session

An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing title, authors, and summary of the research to david.silva409 (at) yahoo.com by July 15, 2018.


Suggestions for accommodation will be available in due time.


A certificate of successful participation in the event will be delivered indicating the number of hours of lectures


It has to be done at Registration website.
The selection of up to 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration facility disabled when the capacity of the venue is exhausted. It is highly recommended to register prior to the event.

Questions and further information

E-Mail: david.silva409 (at) yahoo.com