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An introduction to deep learning methods.

Sebastian Flennerhag, PhD candidate at the University of Manchester, discusses deep learning methods, including how deep learning is defined and developed, what can be done or studied with it, skills needed to use it, limitations on the data, how it differs from other methods, advice for novices of...

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Bibliographic Details
Other Authors: Flennerhag, Sebastian (Academic.)
Format: Video
Language:English
Language Notes:Closed-captions in English.
Published: London : SAGE Publications Ltd, 2019.
Subjects:
Machine learning.
Neural networks (Computer science)
Open source software.
Neural Networks, Computer
Machine Learning
Apprentissage automatique.
Réseaux neuronaux (Informatique)
Logiciels libres.
Machine learning
Open source software
Online Access:Connect to this streaming video
Description
Summary:Sebastian Flennerhag, PhD candidate at the University of Manchester, discusses deep learning methods, including how deep learning is defined and developed, what can be done or studied with it, skills needed to use it, limitations on the data, how it differs from other methods, advice for novices of the subject, benefits of deep learning, what's next for deep learning, his own research, and tools and resources for deep learning.
Physical Description:1 online resource (1 video file (00:38:10)) : sound, colour
ISBN:9781526496614
1526496615