Max pooling layer for 2D inputs (e.g. images).
Inherits From: MaxPool2D
, Layer
View aliases
Compat aliases for migration
See Migration guide for more details.
tf.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
|
DEPRECATED FUNCTION |
scope_name
|