4,390
edits
learning and training |
Hamming distance |
||
(4 intermediate revisions by the same user not shown) | |||
Line 31: | Line 31: | ||
; training | ; training | ||
: the act in which a network participates when learning is employed | : 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 | |||
; hidden layer | |||
: aka Kohonen or Grossberg layer | |||
; cooperation | |||
: the attempt between neurons in one neuron aiding the prospect of another neuron's firing -- vehicle for these phenomena is the connection weight | |||
: negative connection value could mean either inhibition or competition | |||
; competition | |||
: the attempt between neurons to individually excel with higher output | |||
; orthogonal | |||
: dot product results in zero | |||
; Hamming distance | |||
: easier method than Euclidean distance to measure proximity between patterns |