tf.keras.layers.GlobalAveragePooling2D

Global average pooling operation for spatial data.

Inherits From: Layer, Module

View aliases

Main aliases

tf.keras.layers.GlobalAvgPool2D

Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.GlobalAveragePooling2D, tf.compat.v1.keras.layers.GlobalAvgPool2D

tf.keras.layers.GlobalAveragePooling2D(
    data_format=None, **kwargs
)

Examples:

input_shape = (2, 4, 5, 3)
x = tf.random.normal(input_shape)
y = tf.keras.layers.GlobalAveragePooling2D()(x)
print(y.shape)
(2, 3)

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_first corresponds 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).