Home > A practical approach to Convolutional Neural Networks (lecture) |
Talk | |||||||||||
Title | A practical approach to Convolutional Neural Networks (lecture) | ||||||||||
Video |
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Author(s) | Campora Perez, Daniel Hugo (speaker) (CERN + University of Seville) | ||||||||||
Corporate author(s) | CERN. Geneva | ||||||||||
Imprint | 2019-03-04. - 0:50:09. | ||||||||||
Series | (Inverted CSC) (Inverted CERN School of Computing 2019) | ||||||||||
Lecture note | on 2019-03-04T09:15:00 | ||||||||||
Subject category | Inverted CSC | ||||||||||
Abstract | The field of Artificial Intelligence is blooming with many techniques and developments in the last years. Convolutional Neural Networks is a class of feed-forward neural networks that are typically used to analyze images and extract information. We will explore the mathematical foundation of CNNs, join the hype and get some practical hands-on experience with the technology that will change our everyday lives. | ||||||||||
Copyright/License | © 2019-2024 CERN | ||||||||||
Submitted by | sebastian.lopienski@cern.ch |