A systematic review on deep learning architectures and applications

The amount of digital data in the universe is growing at an exponential rate, doubling every 2 years, and changing how we live in the world. The information storage capacity and data requirement crossed the zettabytes. With this level of bombardment of data on machine learning techniques, it becomes...

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Vydané v:	Expert systems Ročník 36; číslo 3
Hlavní autori:	Khamparia, Aditya, Singh, Karan Mehtab
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Oxford Blackwell Publishing Ltd 01.06.2019
Predmet:	Artificial intelligence Artificial neural networks autoencoders Belief networks Bombardment convolutional neural networks Deep learning deep networks Digital data Feature extraction Information storage Machine learning Natural language processing restricted Boltzmann's machine Scientific papers stacked autoencoders Storage capacity tensor deep stack networks Universe
ISSN:	0266-4720, 1468-0394
On-line prístup:	Získať plný text
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