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Global Max Pooling 2D
The
Global Max Pooling 2D
node in AugeLab Studio is used to apply global max pooling to a 2D feature map. Global max pooling reduces the spatial dimensions of the feature map to a single value by computing the maximum value of each channel across all spatial locations.The
Global Max Pooling 2D
node applies global max pooling to the input feature map. It has the following properties:- Node Title: Global Max Pooling 2D
- Node ID: OP_NODE_AI_2D_GLB_MAX_POOL
The
Global Max Pooling 2D
node does not have any input sockets. It represents a layer in the network architecture.The
Global Max Pooling 2D
node does not have any output sockets. It is a middle layer that modifies the network architecture.- 1.Drag and drop the
Global Max Pooling 2D
node from the node library onto the canvas in AugeLab Studio. - 2.Connect the
Global Max Pooling 2D
node to other nodes in the network to modify the network architecture.
The
Global Max Pooling 2D
node is implemented using the GlobalMaxPooling2D
layer from the Keras library. The node's getKerasLayer
method returns a Keras global max pooling layer.Global max pooling reduces the spatial dimensions of the input feature map to a single value per channel by computing the maximum value of each channel across all spatial locations. This operation is applied independently to each channel, resulting in a reduced feature map with a shape of (batch_size, channels).
- 1.Drag and drop the
Global Max Pooling 2D
node from the node library onto the canvas in AugeLab Studio. - 2.Connect the
Global Max Pooling 2D
node to other nodes in the network to modify the network architecture. - 3.Train the network using the modified architecture to observe the effects of global max pooling on model performance.
- The
Global Max Pooling 2D
node applies global max pooling to a 2D feature map. - Global max pooling reduces the spatial dimensions of the feature map to a single value per channel.
- The
Global Max Pooling 2D
node does not have any input or output sockets. It is a middle layer that modifies the network architecture. - Ensure that the
Global Max Pooling 2D
node is connected to other nodes in the network to have an impact on the model's behavior. - The
Global Max Pooling 2D
node requires the Keras library to be installed.