Introduction to Deep Learning

Wednesday, 10 April 2024 09:00 to Friday, 12 April 2024 18:00
SergioOrlandini SergioOrlandini , JuanMata , LauraMorselli , LucaFerraro
Provided as: 
Ordinary Course
Registrations closing: 
Wednesday, 20 March 2024 at 09:00

The course is FREE of charge, 

It will be held EXCLUSIVELY IN PRESENCE (No Streaming Available) and will be held in ITALIAN language. 

SergioOrlandini , JuanMata , LauraMorselli , LucaFerraro


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

Target Audience:

Researchers and programmers interested in using deep learning.


Knowledge of the basic fundamentals of machine learning and python language is useful but not necessary.


Intended for: 
Research Institutions
3 dd

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Cineca is a non profit Consortium, made up of 102 Italian national institutions: Universities, Italian Research Institutions and the Italian Ministries of Universities and Education.

Today it is the largest Italian computing centre, one of the most important worldwide. With more seven hundred employees, it operates in the technological transfer sector through high performance scientific computing, the management and development of networks and web based services, and the development of complex information systems for treating large amounts of data.

It develops advanced Information Technology applications and services, acting like a trait-d'union between the academic world, the sphere of pure research and the world of industry and Public Administration. .

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