ยป Keras API reference / Layers API / Pooling layers / GlobalMaxPooling2D layer

GlobalMaxPooling2D layer

GlobalMaxPooling2D class

tf.keras.layers.GlobalMaxPooling2D(data_format=None, **kwargs)

Global max pooling operation for spatial data.

Examples

>>> input_shape = (2, 4, 5, 3)
>>> x = tf.random.normal(input_shape)
>>> y = tf.keras.layers.GlobalMaxPool2D()(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).