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Bhargavi et al., 2021 - Google Patents

A survey on recent deep learning architectures

Bhargavi et al., 2021

Document ID
3879670219218330782
Author
Bhargavi G
Vaijayanthi S
Arunnehru J
Reddy P
Publication year
Publication venue
Artificial intelligence and IoT: smart convergence for eco-friendly topography

External Links

Snippet

In artificial intelligence, the area is going rapidly towards tackling and solving problems that are intellectually challenging for human beings, its almost straightforward for machines. A list of formal and analytical rules creates the problem. The computer gains experience …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
    • G06N3/08—Learning methods
    • G06N3/082—Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G06K9/627—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches based on distances between the pattern to be recognised and training or reference patterns
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    • G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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    • G06K9/4619—Biologically-inspired filters, e.g. receptive fields
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    • G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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