💡 Words with a Similar Meaning to "Recursive neural network"
Found via reverse dictionary — words that share a conceptual meaning.
| Word | Definition |
|---|---|
| recurrent neural networknoun | (machine learning) An artificial neural network where the connections between units give them a kind of internal memory useful for processing arbitrary sequences of inputs as in speech recognition. |
| neural networknoun | (machine learning) A real or virtual computer system designed to emulate the brain in its ability to "learn" to assess imprecise data. |
| random neural networknoun | (machine learning) A mathematical representation of an interconnected network of neurons or cells which exchange spiking signals. |
| multilayer perceptronnoun | (machine learning) A neural network having at least one hidden layer, and whose neurons use a nonlinear activation function (e.g. sigmoid). |
| neurocomputernoun | An artificial neural network; a mathematical model designed to imitate the function of living nerve cells. |
| neuronnoun | (cytology) A cell of the nervous system, which conducts nerve impulses; consisting of an axon and several dendrites. Neurons are connected by synapses. |
| adaptive intelligencenoun | A branch of artificial intelligence dealing with training neural networks using not only the statistical estimation of data, but combining it with specific domain knowledge. |
| convolutional neural networknoun | (machine learning) A neural network in which the connectivity pattern between its neurons is modelled on the organization of the animal visual cortex. |
| feedforward neural networknoun | (machine learning) A neural network in which the outputs are not used as input in a previous layer. |
| hopfield networknoun | A kind of recurrent neural network, providing a model for understanding human memory. |
| genetic memorynoun | (biology) The state of a biological system encoded in its genetic material. |
| automated machine learningnoun | (artificial intelligence) A field of study concerned with the design and development of algorithms and techniques of automating the end-to-end process of machine learning and artificial intelligence. |
| machine learningnoun | (artificial intelligence) A field of study concerned with the design and development of algorithms and techniques that allow computers to learn. |
| artificial intelligencenoun | (computer science) The branch of computer science dealing with the reproduction or mimicking of human-level intelligence, self-awareness, knowledge, conscience, and thought in computer programs. |
| reservoir computingnoun | A framework for computation derived from recurrent neural network theory, mapping input signals into higher-dimensional computational spaces through the dynamics of a fixed, non-linear system called a reservoir. |
| hidden layernoun | (machine learning) The layer or layers of neurons between the input layer and the output layer in a neural network. |
| federated learningnoun | (artificial intelligence) A machine learning technique that trains an algorithm across multiple decentralized edge devices or servers holding local data samples, without exchanging them. |
| deep learningnoun | (computing) A form of machine learning based on the interpretation of the structure of data. |
| computational intelligencenoun | (computing) A field of study that covers traditional artificial intelligence together with neural networks and fuzzy systems etc. |
| intelligent systemnoun | (computing) A computer system that uses techniques derived from artificial intelligence, particularly one in which such techniques are central to the operation or design of the system. |
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