tf.keras.layers.GlobalMaxPool2D | TensorFlow v2.0.0 (original) (raw)

tf.keras.layers.GlobalMaxPool2D

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Global max pooling operation for spatial data.

View aliases

Main aliases

tf.keras.layers.GlobalMaxPooling2D

Compat aliases for migration

SeeMigration guide for more details.

tf.compat.v1.keras.layers.GlobalMaxPool2D, tf.compat.v1.keras.layers.GlobalMaxPooling2D

tf.keras.layers.GlobalMaxPool2D(
    data_format=None, **kwargs
)

Arguments
data_format	A string, one of channels_last (default) or channels_first. The ordering of the dimensions in the inputs.channels_last corresponds to inputs with shape(batch, height, width, channels) while channels_firstcorresponds to inputs with shape(batch, channels, height, width). It defaults to the image_data_format value found in your Keras config file at ~/.keras/keras.json. If you never set it, then it will be "channels_last".

Arguments

data_format

A string, one of channels_last (default) or channels_first. The ordering of the dimensions in the inputs.channels_last corresponds to inputs with shape(batch, height, width, channels) while channels_firstcorresponds to inputs with shape(batch, channels, height, width). It defaults to the image_data_format value found in your Keras config file at ~/.keras/keras.json. If you never set it, then it will be "channels_last".

Input shape:

If data_format='channels_last': 4D tensor with shape (batch_size, rows, cols, channels).
If data_format='channels_first': 4D tensor with shape (batch_size, channels, rows, cols).

Output shape:

2D tensor with shape (batch_size, channels).

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Last updated 2020-10-01 UTC.