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Concept
Fully Connected Layer
A
Fully Connected Layer
is a
neural network layer
where
each neuron
is connected to every neuron in the
previous layer
, allowing for the
learning of complex patterns
through
weighted sums
and biases. It is typically used in the
final stages of a neural network
to
combine features
learned in earlier layers and make predictions or classifications.
Relevant Degrees
Artificial Intelligence Systems 100%
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