Matches in SemOpenAlex for { <https://semopenalex.org/work/W3091882364> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W3091882364 endingPage "75" @default.
- W3091882364 startingPage "55" @default.
- W3091882364 abstract "Deep learning is one of the popular machine learning strategies that learns in a supervised or unsupervised manner by forming a cascade of multiple layers of non-linear processing units. It is inspired by the way of information processing and communication pattern of the typical biological nervous system. The deep learning algorithms learn through multiple levels of abstractions and hierarchy of concepts; as a result, it is found to be more efficient than the conventional non-deep machine learning algorithms. This chapter explains the basics of deep learning by highlighting the necessity of deep learning over non-deep learning. It also covers discussion on several recently developed deep learning architectures and popular tools available in market for deep learning, which includes Tensorflow, PyTorch, Keras, Caffe, Deeplearning4j, Pylearn2, Theano, CuDDN, CUDA-Convnet, and Matlab." @default.
- W3091882364 created "2020-10-15" @default.
- W3091882364 creator A5001501386 @default.
- W3091882364 date "2021-01-01" @default.
- W3091882364 modified "2023-09-23" @default.
- W3091882364 title "Deep Learning Architectures and Tools" @default.
- W3091882364 cites W1963882359 @default.
- W3091882364 cites W1984020445 @default.
- W3091882364 cites W2595557940 @default.
- W3091882364 cites W2624972355 @default.
- W3091882364 cites W2752888628 @default.
- W3091882364 cites W2761434131 @default.
- W3091882364 cites W2767547957 @default.
- W3091882364 cites W2899366056 @default.
- W3091882364 doi "https://doi.org/10.4018/978-1-7998-2108-3.ch002" @default.
- W3091882364 hasPublicationYear "2021" @default.
- W3091882364 type Work @default.
- W3091882364 sameAs 3091882364 @default.
- W3091882364 citedByCount "1" @default.
- W3091882364 countsByYear W30918823642021 @default.
- W3091882364 crossrefType "book-chapter" @default.
- W3091882364 hasAuthorship W3091882364A5001501386 @default.
- W3091882364 hasConcept C108583219 @default.
- W3091882364 hasConcept C119857082 @default.
- W3091882364 hasConcept C154945302 @default.
- W3091882364 hasConcept C162324750 @default.
- W3091882364 hasConcept C173608175 @default.
- W3091882364 hasConcept C2778119891 @default.
- W3091882364 hasConcept C2984842247 @default.
- W3091882364 hasConcept C31170391 @default.
- W3091882364 hasConcept C34447519 @default.
- W3091882364 hasConcept C41008148 @default.
- W3091882364 hasConcept C50644808 @default.
- W3091882364 hasConcept C8038995 @default.
- W3091882364 hasConceptScore W3091882364C108583219 @default.
- W3091882364 hasConceptScore W3091882364C119857082 @default.
- W3091882364 hasConceptScore W3091882364C154945302 @default.
- W3091882364 hasConceptScore W3091882364C162324750 @default.
- W3091882364 hasConceptScore W3091882364C173608175 @default.
- W3091882364 hasConceptScore W3091882364C2778119891 @default.
- W3091882364 hasConceptScore W3091882364C2984842247 @default.
- W3091882364 hasConceptScore W3091882364C31170391 @default.
- W3091882364 hasConceptScore W3091882364C34447519 @default.
- W3091882364 hasConceptScore W3091882364C41008148 @default.
- W3091882364 hasConceptScore W3091882364C50644808 @default.
- W3091882364 hasConceptScore W3091882364C8038995 @default.
- W3091882364 hasLocation W30918823641 @default.
- W3091882364 hasOpenAccess W3091882364 @default.
- W3091882364 hasPrimaryLocation W30918823641 @default.
- W3091882364 hasRelatedWork W2950066684 @default.
- W3091882364 hasRelatedWork W2956138382 @default.
- W3091882364 hasRelatedWork W3082895349 @default.
- W3091882364 hasRelatedWork W3091882364 @default.
- W3091882364 hasRelatedWork W3123344745 @default.
- W3091882364 hasRelatedWork W4211044943 @default.
- W3091882364 hasRelatedWork W4221136938 @default.
- W3091882364 hasRelatedWork W4298388782 @default.
- W3091882364 hasRelatedWork W4302303815 @default.
- W3091882364 hasRelatedWork W4312831135 @default.
- W3091882364 isParatext "false" @default.
- W3091882364 isRetracted "false" @default.
- W3091882364 magId "3091882364" @default.
- W3091882364 workType "book-chapter" @default.