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MeSH descriptor
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Deep Learning
Supervised or unsupervised machine learning methods that use multiple layers of data representations generated by nonlinear transformations, instead of individual task-specific ALGORITHMS, to build and train neural network models.
推出的年份: 2019
副标题
classification
economics
ethics
history
legislation and jurisprudence
standards
statistics and numerical data
supply and distribution
trends
树号:
G17.035.250.500.250, G17.485.500, L01.224.050.375.530.250, L01.224.050.375.605.500
MeSH 单一 ID:
D000077321
进入的组:
Learning, Deep
Hierarchical Learning
Learning, Hierarchical
早前的内容:
Artificial Intelligence (2001-2018)
All MeSH Categories
Phenomena and Processes
Mathematical Concepts [G17]
Algorithms [G17.035]
Artificial Intelligence [G17.035.250]
Machine Learning [G17.035.250.500]
Deep Learning [G17.035.250.500.250]
Supervised Machine Learning [G17.035.250.500.500]
add_circle
Unsupervised Machine Learning [G17.035.250.500.750]
All MeSH Categories
Phenomena and Processes
Mathematical Concepts [G17]
Neural Networks, Computer [G17.485]
Deep Learning [G17.485.500]
All MeSH Categories
Information Science Category
Information Science [L01]
Computing Methodologies [L01.224]
Algorithms [L01.224.050]
Artificial Intelligence [L01.224.050.375]
Machine Learning [L01.224.050.375.530]
Deep Learning [L01.224.050.375.530.250]
Supervised Machine Learning [L01.224.050.375.530.500]
add_circle
Unsupervised Machine Learning [L01.224.050.375.530.750]
All MeSH Categories
Information Science Category
Information Science [L01]
Computing Methodologies [L01.224]
Algorithms [L01.224.050]
Artificial Intelligence [L01.224.050.375]
Neural Networks, Computer [L01.224.050.375.605]
Deep Learning [L01.224.050.375.605.500]
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