Flatten
classtf.keras.layers.Flatten(data_format=None, **kwargs)
Flattens the input. Does not affect the batch size.
Note: If inputs are shaped (batch,)
without a feature axis, then
flattening adds an extra channel dimension and output shape is (batch, 1)
.
Arguments
channels_last
(default) or channels_first
.
The ordering of the dimensions in the inputs.
channels_last
corresponds to inputs with shape
(batch, ..., channels)
while channels_first
corresponds to
inputs with shape (batch, channels, ...)
.
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".Example
>>> model = tf.keras.Sequential()
>>> model.add(tf.keras.layers.Conv2D(64, 3, 3, input_shape=(3, 32, 32)))
>>> model.output_shape
(None, 1, 10, 64)
>>> model.add(Flatten())
>>> model.output_shape
(None, 640)