Deep Belief Network - A deep belief network, or DBN, is a generative probabilistic model with multiple layers of hidden variables.
Deep Convolutional Inverse Graphics Network - A Deep Convolutional Inverse Graphics Network, commonly abbreviated DC-IGN, is a particular generative image model designed to learn a representation that...
Deep Copy - A deep copy creates a new compound object and recursively copies its contained objects according to the language or library's copying rules.
Deep deterministic policy gradient - Deep deterministic policy gradient, or DDPG, is an off-policy actor-critic reinforcement-learning algorithm for continuous action spaces.
Deep ensemble - A deep ensemble combines predictions from several trained deep neural networks.
Deep Equality - Deep equality compares the contents of structured values beyond their outermost identity, following nested components according to a defined comparison rule.
Deep Feed-Forward Network - A deep feed-forward network is a neural network that transforms inputs into outputs through multiple successive processing layers without recurrent feedback...
Deep Gaussian process - A deep Gaussian process is a probabilistic model that composes multiple mappings governed by Gaussian processes.
Deep image prior - Deep image prior is an image-restoration approach that uses the structure of a randomly initialized neural network as a bias towards certain kinds of images.
Deep kernel learning - Deep kernel learning combines a learned deep neural representation with a kernel method.
Deep lambertian networks - Deep Lambertian networks are generative image models that combine learned probabilistic representations with a Lambertian reflectance assumption.
Deep learning - Deep learning is a branch of machine learning that learns representations through multiple layers of computation.
Deep learning speech synthesis - Definition: Deep learning speech synthesis uses neural networks with multiple processing layers to generate speech audio.
Deep linguistic processing - Definition: Deep linguistic processing analyses language using detailed grammatical and semantic structure.
Deep Markov model - A deep Markov model is a probabilistic sequence model with latent states whose transition or observation distributions are parameterized by neural networks.
Deep model - A deep model is a neural network that transforms inputs through multiple hidden layers before producing an output.
Deep Q-Network - A Deep Q-Network is a reinforcement learning system that uses a neural network to estimate the value of each available action in a given situation, so the...
Deep reinforcement learning - Deep reinforcement learning combines reinforcement learning with deep neural networks.
Deep tomographic reconstruction - Deep tomographic reconstruction uses deep-learning methods to recover an internal image or volume from indirect measurements.
Deep Transfer Learning - Deep transfer learning reuses knowledge learned by a deep neural network in one setting to help solve a different, related task or work with a different...
Deepfake - A deepfake is synthetic or manipulated media created with deep-learning techniques that can make a person or event appear to be something it is not.
Default logic - Default logic is a formal approach to reasoning with assumptions that may be withdrawn when additional information becomes available.
Default rules - Default rules are rules that permit a provisional conclusion when stated conditions hold and no relevant defeating information prevents the inference.
Defective matrix - A defective matrix is a square matrix that lacks enough linearly independent eigenvectors to form a basis.
Defective sample - A defective sample, in the historical statistical terminology used by the supplied glossary, is a sample made incomplete because the intended inquiry was...
Definite clause - A definite clause is a logical clause containing exactly one positive literal.
Definite clause grammar - A definite clause grammar, or DCG, is a notation for describing grammars and related sequence-processing relations in logic programming.
Definite reference - Definite reference is a use of language that presents an intended referent as identifiable to the listener or reader in the relevant context.
Deflate - Deflate, usually written DEFLATE, is a lossless compressed-data format that combines references to repeated data with Huffman coding.
Deflator - A deflator is a price measure used to remove the effect of price changes from a monetary series so that values can be compared on a common price basis.
Deformable parts model - A deformable parts model detects objects by combining evidence for an overall object pattern with evidence for several movable parts.
Deformable template - A deformable template is a model of an object's shape or structure that can change within specified limits to fit observed data.
Defuzzification - Defuzzification is the process of converting a fuzzy output representation into a single numerical value.
Degenerate dimension - A degenerate dimension is a dimensional-modeling identifier kept directly in a fact table without a separate dimension table of descriptive attributes.
Deghosting - Deghosting reduces duplicate, translucent or inconsistent structures created when multiple images containing motion or misalignment are combined.
Degree adverb - A degree adverb expresses the extent, intensity or sufficiency of a property, state or activity.
Degree heuristic - The degree heuristic is a variable-selection rule for constraint satisfaction that prefers an unassigned variable involved in many constraints with other...
Degree of belief - A degree of belief is the probability an agent assigns to a proposition in light of its information and assumptions.
Degree of belonging - A degree of belonging is a numerical value expressing how strongly a data point is associated with a cluster under a specified clustering method.
Degree of parallelism - Degree of parallelism is the number of execution participants used, or permitted, to work on an operation concurrently.
Degree of truth - A degree of truth expresses how fully a proposition is true within a logic that permits intermediate truth values.
Degree-Rips bifiltration - A degree-Rips bifiltration is a two-parameter construction in topological data analysis that examines a point cloud using both distance scale and local...
Degrees of freedom - Degrees of freedom describe the number of independent directions or pieces of information available after relevant constraints or fitted quantities are...
Degrees-of-freedom ladder - In the supplied image-warping context, the degrees-of-freedom ladder is an explanatory hierarchy of two-dimensional transformation models: translation...
Delaunay triangulation - Delaunay triangulation divides a set of planar points into non-overlapping triangles such that no input point lies strictly inside any triangle's circumcircle.