Deep learning

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For the "South Park" episode, see Deep Learning (South Park).
Part of a series on
Machine learning
and data mining
Scatterplot featuring a linear support vector machine's decision boundary (dashed line)
Paradigms
Problems
Supervised learning
(classification • regression)
Clustering
Dimensionality reduction
Structured prediction
Anomaly detection
Artificial neural network
AutoencoderCognitive computingDeep learningDeepDreamMultilayer perceptronRNN LSTMGRUESNreservoir computingRestricted Boltzmann machineGANSOMConvolutional neural network U-NetTransformer VisionSpiking neural networkMemtransistorElectrochemical RAM (ECRAM)
Reinforcement learning
Learning with humans
Model diagnostics
Theory
Machine-learning venues
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Part of a series on
Artificial intelligence
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Major goals
Approaches
SymbolicDeep learningBayesian networksEvolutionary algorithmsSituated approachHybrid intelligent systemsSystems integration
Philosophy
History
Technology
Glossary
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Representing images on multiple layers of abstraction in deep learning
Representing images on multiple layers of abstraction in deep learning[1]
Deep learning is part of a broader family of machine learning methods, which is based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised.[2]

Deep-learning architectures such as deep neural networks, deep belief networks, deep  Include at least 26 hashtags, starting with '#'
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