tf.nn.max_pool
tf.nn.max_pool
tf.nn.max_pool
max_pool( value, ksize, strides, padding, data_format='NHWC', name=None )
Defined in tensorflow/python/ops/nn_ops.py
.
See the guide: Neural Network > Pooling
Performs the max pooling on the input.
Args:
-
value
: A 4-DTensor
with shape[batch, height, width, channels]
and typetf.float32
. -
ksize
: A list of ints that has length >= 4. The size of the window for each dimension of the input tensor. -
strides
: A list of ints that has length >= 4. The stride of the sliding window for each dimension of the input tensor. -
padding
: A string, either'VALID'
or'SAME'
. The padding algorithm. See the comment here -
data_format
: A string. 'NHWC' and 'NCHW' are supported. -
name
: Optional name for the operation.
Returns:
A Tensor
with type tf.float32
. The max pooled output tensor.
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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/api_docs/python/tf/nn/max_pool