GlobalAveragePooling2D is a function in the Python library Keras that performs global average pooling on 2D inputs such as images. It calculates the average value for each channel of the input feature map, resulting in a single value per channel. This operation reduces the spatial dimensions of the input while preserving the depth. GlobalAveragePooling2D is often used as a layer in deep learning models for image classification tasks, as it helps to extract global information from the input data.
Python GlobalAveragePooling2D - 30 examples found. These are the top rated real world Python examples of keras.layers.pooling.GlobalAveragePooling2D extracted from open source projects. You can rate examples to help us improve the quality of examples.