Select the correct statement regarding the Keras Functional API

Unlike the Keras Sequential API, we do not have to provide the shape of the input to the model.

Unlike the Keras Sequential API, we have to provide the shape of the input to the model.

The Keras Functional API does not provide a more flexible way for defining models.

None of the above.

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Question 3

Select the correct statement regarding the Keras Sequential and Functional API’s.

1 / 1 point

The core data structure of Keras is a model, which let us organize and design layers. Sequential and Functional are two ways to build Keras models. The Sequential model is the most complex type of model (a linear stock of layers). If we need to build arbitrary graphs of layers, the Keras Sequential API can do that for us.

If we need to build arbitrary graphs of layers, both the Keras Sequential and Functional API can do that for us.

The core data structure of Keras is a model, which let us organize and design layers. Sequential and Functional are two ways to build Keras models. The Sequential model is the simplest type of model (a linear stock of layers). If we need to build arbitrary graphs of layers, the Keras Functional API can do that for us.

If we need to build arbitrary graphs of layers, only the Keras Sequential API can do that for us.

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Multiple inputs and outputs and models with shared layers.

Single inputs and outputs and models with shared layers.

Multiple inputs and outputs and models with non-shared layers.

None of the above.

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The input layer needs to have shape (p,) where p is the number of columns in your training matrix. For example:

inputs = Input(shape=(3,))

The input layer needs to have shape (). For example:

inputs = Input(shape=())

Both A and B

None of the above

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Select the correct statement regarding the Keras Functional API

The Keras Functional API >>> Select the correct statement regarding the Keras Functional API>>> Introduction to TensorFlow

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The Keras Functional API provides which of the following

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