Fully Connected Layer
A Fully Connected Layer (Dense Layer) is a layer in an artificial neural network where every neuron is connected to all neurons in the previous layer, mapping linear combinations of inputs to outputs.
Frequently Asked Questions
What operation occurs in a fully connected layer?▼
Matrix multiplication of the inputs and weights plus a bias vector, passed to an activation function: `y = f(W*x + b)`.
Why did CNNs replace fully connected layers for image features?▼
Fully connected layers require too many parameters for high-res images, whereas CNNs share parameters to reduce memory.
Quick Facts
- CategoryNeural Architectures
- Key ApplicationDeep learning classification output layers, MLPs, and traditional network blocks.
Coverage Trend12 Weeks
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