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- Feature_learning abstract "In machine learning, feature learning or representation learning is a set of techniques that learn a feature: a transformation of raw data input to a representation that can be effectively exploited in machine learning tasks. This obviates manual feature engineering, which is otherwise necessary, and allows a machine to both learn at a specific task (using the features) and learn the features themselves: to learn how to learn.Feature learning is motivated by the fact that machine learning tasks such as classification often require input that is mathematically and computationally convenient to process. However, real-world data such as images, video, and sensor measurement is usually complex, redundant, and highly variable. Thus, it is necessary to discover useful features or representations from raw data. Traditional hand-crafted features often require expensive human labor and often rely on expert knowledge. Also, they normally do not generalize well. This motivates the design of efficient feature learning techniques, to automate and generalize this.Feature learning can be divided into two categories: supervised and unsupervised feature learning, analogous to these categories in machine learning generally.In supervised feature learning, features are learned with labeled input data. Examples include neural networks, multilayer perceptron, and (supervised) dictionary learning.In unsupervised feature learning, features are learned with unlabeled input data. Examples include dictionary learning, independent component analysis, autoencoders, matrix factorization, and various forms of clustering.↑ ↑ ↑ ↑ ↑".
- Feature_learning wikiPageID "38870173".
- Feature_learning wikiPageLength "20955".
- Feature_learning wikiPageOutDegree "57".
- Feature_learning wikiPageRevisionID "705177631".
- Feature_learning wikiPageWikiLink Andrew_Ng.
- Feature_learning wikiPageWikiLink Artificial_neural_network.
- Feature_learning wikiPageWikiLink Autoencoder.
- Feature_learning wikiPageWikiLink Basis_function.
- Feature_learning wikiPageWikiLink Binary_data.
- Feature_learning wikiPageWikiLink Boltzmann_machine.
- Feature_learning wikiPageWikiLink Brown_clustering.
- Feature_learning wikiPageWikiLink Category:Machine_learning.
- Feature_learning wikiPageWikiLink Cluster_analysis.
- Feature_learning wikiPageWikiLink Deep_learning.
- Feature_learning wikiPageWikiLink Eigenvalues_and_eigenvectors.
- Feature_learning wikiPageWikiLink Feature_(machine_learning).
- Feature_learning wikiPageWikiLink Feature_detection_(computer_vision).
- Feature_learning wikiPageWikiLink Feature_engineering.
- Feature_learning wikiPageWikiLink Feature_extraction.
- Feature_learning wikiPageWikiLink Geoffrey_Hinton.
- Feature_learning wikiPageWikiLink Greedy_algorithm.
- Feature_learning wikiPageWikiLink If_and_only_if.
- Feature_learning wikiPageWikiLink Independent_component_analysis.
- Feature_learning wikiPageWikiLink Joint_probability_distribution.
- Feature_learning wikiPageWikiLink K-means_clustering.
- Feature_learning wikiPageWikiLink Kernel_method.
- Feature_learning wikiPageWikiLink Latent_variable.
- Feature_learning wikiPageWikiLink Least_squares.
- Feature_learning wikiPageWikiLink Machine_learning.
- Feature_learning wikiPageWikiLink Manifold.
- Feature_learning wikiPageWikiLink Mathematical_optimization.
- Feature_learning wikiPageWikiLink Matrix_decomposition.
- Feature_learning wikiPageWikiLink Moment_(mathematics).
- Feature_learning wikiPageWikiLink Multilayer_perceptron.
- Feature_learning wikiPageWikiLink NP-hardness.
- Feature_learning wikiPageWikiLink Named-entity_recognition.
- Feature_learning wikiPageWikiLink Natural_language_processing.
- Feature_learning wikiPageWikiLink Neural_coding.
- Feature_learning wikiPageWikiLink Nonlinear_dimensionality_reduction.
- Feature_learning wikiPageWikiLink Principal_component_analysis.
- Feature_learning wikiPageWikiLink Radial_basis_function.
- Feature_learning wikiPageWikiLink Radial_basis_function_network.
- Feature_learning wikiPageWikiLink Regularization_(mathematics).
- Feature_learning wikiPageWikiLink Restricted_Boltzmann_machine.
- Feature_learning wikiPageWikiLink Sample_mean_and_covariance.
- Feature_learning wikiPageWikiLink Semi-supervised_learning.
- Feature_learning wikiPageWikiLink Singular_value_decomposition.
- Feature_learning wikiPageWikiLink Statistical_classification.
- Feature_learning wikiPageWikiLink Stochastic_gradient_descent.
- Feature_learning wikiPageWikiLink Vector_quantization.
- Feature_learning wikiPageWikiLinkText "Feature learning".
- Feature_learning wikiPageWikiLinkText "Feature learning#Unsupervised feature learning".
- Feature_learning wikiPageWikiLinkText "feature detector".
- Feature_learning wikiPageWikiLinkText "feature learning".
- Feature_learning wikiPageWikiLinkText "learn useful features".
- Feature_learning wikiPageWikiLinkText "learning efficient codings".
- Feature_learning wikiPageUsesTemplate Template:Machine_learning_bar.
- Feature_learning wikiPageUsesTemplate Template:Reflist.
- Feature_learning subject Category:Machine_learning.
- Feature_learning hypernym Set.
- Feature_learning comment "In machine learning, feature learning or representation learning is a set of techniques that learn a feature: a transformation of raw data input to a representation that can be effectively exploited in machine learning tasks.".
- Feature_learning label "Feature learning".
- Feature_learning sameAs Q17013334.
- Feature_learning sameAs m.0ryvx64.
- Feature_learning sameAs Навчання_ознак.
- Feature_learning sameAs Q17013334.
- Feature_learning wasDerivedFrom Feature_learning?oldid=705177631.
- Feature_learning isPrimaryTopicOf Feature_learning.