tf.keras.layers.Flatten

Flattens the input. Does not affect the batch size.

Inherits From: Layer, Operation

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

Used in the notebooks

Used in the guide	Used in the tutorials
Effective Tensorflow 2 Migrate early stopping Use TF1.x models in TF2 workflows tf.data: Build TensorFlow input pipelines Migrate checkpoint saving	Image classification Scalable model compression Simple audio recognition: Recognizing keywords Custom training with tf.distribute.Strategy Using DTensors with Keras

Args
`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, ...)`. When unspecified, uses `image_data_format` value found in your Keras config file at `~/.keras/keras.json` (if exists). Defaults to `"channels_last"`.

Args

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, ...). When unspecified, uses image_data_format value found in your Keras config file at ~/.keras/keras.json (if exists). Defaults to "channels_last".

Example:

x = keras.Input(shape=(10, 64))
y = keras.layers.Flatten()(x)
y.shape
(None, 640)

Attributes
`input`	Retrieves the input tensor(s) of a symbolic operation. Only returns the tensor(s) corresponding to the first time the operation was called.
`output`	Retrieves the output tensor(s) of a layer. Only returns the tensor(s) corresponding to the first time the operation was called.

Attributes

input

Retrieves the input tensor(s) of a symbolic operation.

Only returns the tensor(s) corresponding to the first time the operation was called.

output

Retrieves the output tensor(s) of a layer.

Only returns the tensor(s) corresponding to the first time the operation was called.

Methods

`from_config`

View source

@classmethod
from_config(
    config
)

Creates an operation from its config.

This method is the reverse of get_config, capable of instantiating the same operation from the config dictionary.

if "dtype" in config and isinstance(config["dtype"], dict):
    policy = dtype_policies.deserialize(config["dtype"])

Args
`config`	A Python dictionary, typically the output of `get_config`.

Returns
An operation instance.