Fully Connected Layer
/ˈfʊli kəˈnɛktɪd ˈleɪər/
A neural network layer where every neuron is connected to every neuron in the previous and next layers.
In italiano: Layer Fully ConnectedAlso called dense layers, they perform classification or regression after feature extraction. Each connection has a learnable weight. Common at the end of CNNs for final decision making.
Examples
- Classification layer in CNNs
- MLP hidden layers
- Output layer