tf.keras.layers.Flatten

Flattens the input. Does not affect the batch size.

Inherits From: Layer

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.layers.Flatten

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

Note: If inputs are shaped (batch,) without a feature axis, then flattening adds an extra channel dimension and output shape is (batch, 1).

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, ..., 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)