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hub / github.com/alibaba/nann / Input

Function Input

tensorflow/tensorflow/python/keras/engine/input_layer.py:163–273  ·  view source on GitHub ↗

`Input()` is used to instantiate a Keras tensor. A Keras tensor is a tensor object from the underlying backend (Theano or TensorFlow), which we augment with certain attributes that allow us to build a Keras model just by knowing the inputs and outputs of the model. For instance, if a, b

(  # pylint: disable=invalid-name
    shape=None,
    batch_size=None,
    name=None,
    dtype=None,
    sparse=False,
    tensor=None,
    ragged=False,
    **kwargs)

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Callers 2

_clone_functional_modelFunction · 0.90
_clone_sequential_modelFunction · 0.90

Calls 4

InputLayerClass · 0.70
popMethod · 0.45
updateMethod · 0.45
keysMethod · 0.45

Tested by

no test coverage detected