Class Input

Input() is used to instantiate a Keras tensor. A Keras tensor is a tensor object from the underlying backend(Theano, TensorFlow or CNTK), 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 and c are Keras tensors, it becomes possible to do: model = Model(input =[a, b], output = c) The added Keras attributes are: _keras_shape: Integer shape tuple propagated via Keras-side shape inference._keras_history: Last layer applied to the tensor. the entire layer graph is retrievable from that layer, recursively.

Inheritance
System.Object
Keras
Base
BaseLayer
Input
Implements
System.IDisposable
Inherited Members
System.Object.Equals(System.Object)
System.Object.Equals(System.Object, System.Object)
System.Object.GetHashCode()
System.Object.GetType()
System.Object.MemberwiseClone()
System.Object.ReferenceEquals(System.Object, System.Object)
System.Object.ToString()
Namespace: Keras.Layers
Assembly: Keras.dll
Syntax
public class Input : BaseLayer, IDisposable

Constructors

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Input(Shape, Shape, String, String, Boolean, NDarray)

Initializes a new instance of the Input class.

Declaration
public Input(Shape shape, Shape batch_shape = null, string name = "", string dtype = "float32", bool sparse = false, NDarray tensor = null)
Parameters
Type Name Description
Shape shape

A shape tuple (integer), not including the batch size. For instance, shape=(32,) indicates that the expected input will be batches of 32-dimensional vectors.
Shape batch_shape

A shape tuple (integer), including the batch size. For instance, batch_shape=(10, 32) indicates that the expected input will be batches of 10 32-dimensional vectors. batch_shape=(None, 32) indicates batches of an arbitrary number of 32-dimensional vectors.
System.String name

An optional name string for the layer. Should be unique in a model (do not reuse the same name twice). It will be autogenerated if it isn't provided.
System.String dtype

The data type expected by the input, as a string (float32, float64, int32...)
System.Boolean sparse

A boolean specifying whether the placeholder to be created is sparse.
Numpy.NDarray tensor

Optional existing tensor to wrap into the Input layer. If set, the layer will not create a placeholder tensor.

Implements

System.IDisposable