neural network primary subject, 195 assertions
Subgroups 3
artificial neural network 10
convolutional neural network 1
deep neural network 1
Aspects 5
number 19
input 15
weight 15
layer 10
output layer 2
CapableOf 110
make prediction 0.61
classify image 0.59
use datum 0.56
create connection 0.55
produce output 0.55
recognize pattern 0.53
learn by example 0.52
learn 0.51
take input 0.48
process information 0.47
More »
HasA 9
an input layer 0.57
multiple layers 0.57
dozens of neurons 0.28
hidden layer 0.28
weight 0.25
60 million parameters 0.25
single layer of data 0.25
cycle 0.25
many parameters 0.25
HasProperty 21
effective 0.51
complex 0.48
useful 0.45
fast 0.43
deep 0.36
flexible 0.35
powerful 0.34
well-suited 0.32
sensitive 0.32
intensive 0.32
More »
HasSubevent 4
technological advances 0.36
higher quality move sel… 0.28
next iteration 0.28
stronger self-play 0.26
ReceivesAction 48
trained 0.79
employed 0.65
created 0.60
adjusted 0.49
modeled after human bra… 0.49
organized in layer 0.46
described 0.44
inspired by brain 0.43
reprogrammed 0.43
shown in figure 0.41
More »
UsedFor 3
classification 0.55
deep learning 0.52
regression 0.28