tf.keras.layers.Flatten
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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
Note: If inputs are shaped (batch,)
without a feature axis, then
flattening adds an extra channel dimension and output shape is (batch, 1)
.
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.
Methods
from_config
View source
@classmethod
from_config (
config
)
Creates a layer from its config.
This method is the reverse of get_config
,
capable of instantiating the same layer from the config
dictionary. It does not handle layer connectivity
(handled by Network), nor weights (handled by set_weights
).
Args
config
A Python dictionary, typically the
output of get_config.
Returns
A layer instance.
symbolic_call
View source
symbolic_call (
* args , ** kwargs
)
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license .
Last updated 2024-06-07 UTC.
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