Requirements:
• MS students in Electronic Engineering/Computer Science or equivalent
• Good attitude towards the understanding of emerging trends
• Basic knowledge of network protocols and tools for data analysis
Description:
Deep learning is an emerging branch of machine learning based on the study of algorithms that attempt to model behaviors (e.g. actions of a user) to predict, analyze and propose optimal strategies to solve problems in an automated way e.g. by adopting neural networks. The objective of this work is to carefully study the literature and the state-of-the-art on this topic together with the tools and framework actually proposed in this field (e.g. Google TensorFlow, Caffe , Torch…)
Contacts: Send CV to daniele.brevi@linksfoundation.com specifying the thesis code and title
