ANNs are also named as “parallel distributed processing systems,”
T
F
Each connection link is associated with a output
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F
Each neuron has an internal state, which is called an
activation signal
dectivation signal
input signal
output signal
hidden layer used when dataset need linear classification.
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F
SOP is
Sum of Progress
Sum on Progress
Sum of Product
Sum of Project
𝑠 = 𝑆𝑂𝑃(𝑋𝑖 , 𝑊𝑖) , Xi represents
input node
weight
learning rate
neural networks
The amount that the weights are updated during training is referred to as the step size or the “learning rate.”
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F
Used to generate output and mapped it to its class label
SOP
Activation Function
Learning rate
Weight Adaptation
0
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