Neural net lexicon: Difference between revisions
self-organizing |
correlation matrix |
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; self-organizing | ; self-organizing | ||
: unsupervised learning | : unsupervised learning | ||
; supervised learning | |||
: external criteria are used to be matched by the network output | |||
; LSTM | |||
: long/short term memory -- preservation of intended training on the original set | |||
; structure | |||
: how many layers, what functions they have (input or output), interconnections & their functions | |||
; encoding | |||
: paradigm used for the determination of and changing of weights on the connections between neurons | |||
; recall | |||
: getting an expected output for a given input | |||
; correlation matrix | |||
: aka weight matrix |
Revision as of 21:57, 4 September 2017
- layer
- a subgroup of processing elements
- input layer
- usually the first layer
- output layer
- usually the last layer
- hidden layers
- layers in between the input and the output layer
- cells, neuromimes, artificial neurons
- processing elements
- threshold function
- used to determine the output of a neuron in the output layer
- connections
- synapses between cells
- autoassociation
- pattern matching (A => A)
- heteroassociation
- pattern matching (A => B)
- learning
- process of changing the weights
- training
- the act in which a network participates when learning is employed
- self-organizing
- unsupervised learning
- supervised learning
- external criteria are used to be matched by the network output
- LSTM
- long/short term memory -- preservation of intended training on the original set
- structure
- how many layers, what functions they have (input or output), interconnections & their functions
- encoding
- paradigm used for the determination of and changing of weights on the connections between neurons
- recall
- getting an expected output for a given input
- correlation matrix
- aka weight matrix