CODEWITHSUNDEEP
tensorflowkerasneural-network
Tom
Tom

Reputation: 31

Difference between keras.layers.InputLayer and keras.Input

Could someone explain what the advantage of using keras.layers.InputLayer over the keras.Input tensor is? I understand that one is a tensor, the other is a layer object. However my question is more from a practical point of view as in why one would define the input in a certain way when using the functional API.

Thanks!

Upvotes: 3

Views: 820

Answers (1)

user11530462
user11530462

Reputation:

For the benefit of community providing solution here

It is generally recommend to use the functional layer API via Input, (which creates an InputLayer) without directly using InputLayer. When using InputLayer with Keras Sequential model, it can be skipped by moving the input_shape parameter to the first layer after the InputLayer. For more details you can refer this and this.

Upvotes: 3

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