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Is deep learning the same as deep learning? : perspectives on the construct of deep learning
, 2018 openaire +1 more source
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2019
The chapter is devoted at illustrating the basic principles and the current results which characterize the research on Deep Learning. The term refers to the theory and practice of devising and training complex neural networks for supervised and unsupervised tasks.
Massimo Guarascio +2 more
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The chapter is devoted at illustrating the basic principles and the current results which characterize the research on Deep Learning. The term refers to the theory and practice of devising and training complex neural networks for supervised and unsupervised tasks.
Massimo Guarascio +2 more
openaire +3 more sources
American Journal of Orthodontics and Dentofacial Orthopedics
Flemish Government under the "Onder-zoeksprogramma ...
Axel-Jan Rousseau +3 more
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Flemish Government under the "Onder-zoeksprogramma ...
Axel-Jan Rousseau +3 more
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Deep Questioning and Deep Learning
Academic Radiology, 2012T here is relatively strong empirical evidence that an effective means of enhancing learner performance is to pose ‘‘deep questions’’ (1). Examples of deep questioning include asking learners to explore the causes of a sequence of events, the motivations of the people involved, or the quality of the evidence behind a particular practice or theory.
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Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, 2014
Building intelligent systems that are capable of extracting high-level representations from high-dimensional data lies at the core of solving many AI related tasks, including visual object or pattern recognition, speech perception, and language understanding. Theoretical and biological arguments strongly suggest that building such systems requires deep
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Building intelligent systems that are capable of extracting high-level representations from high-dimensional data lies at the core of solving many AI related tasks, including visual object or pattern recognition, speech perception, and language understanding. Theoretical and biological arguments strongly suggest that building such systems requires deep
openaire +2 more sources
Machine Learning and Deep Learning
2020This chapter discusses the importance of Machine Learning and Deep Learning, two methodologies which have gained importance due to the impact of Digital Transformation and the increasing growth of data sets to Big Data generated through the Internet connectivity.
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