Max pooling layer for 2D inputs (e.g. images).
Inherits From: MaxPool2D
, Layer
, Layer
, Module
tf.compat.v1.layers.MaxPooling2D( pool_size, strides, padding='valid', data_format='channels_last', name=None, **kwargs )
Arguments | |
---|---|
pool_size | An integer or tuple/list of 2 integers: (pool_height, pool_width) specifying the size of the pooling window. Can be a single integer to specify the same value for all spatial dimensions. |
strides | An integer or tuple/list of 2 integers, specifying the strides of the pooling operation. Can be a single integer to specify the same value for all spatial dimensions. |
padding | A string. The padding method, either 'valid' or 'same'. Case-insensitive. |
data_format | A string. The ordering of the dimensions in the inputs. channels_last (default) and channels_first are supported. channels_last corresponds to inputs with shape (batch, height, width, channels) while channels_first corresponds to inputs with shape (batch, channels, height, width) . |
name | A string, the name of the layer. |
Attributes | |
---|---|
graph | |
scope_name |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/compat/v1/layers/MaxPooling2D