The Keras Functional API provides which of the following
Course Summary >>> The Keras Functional API provides which of the following >>> Introduction to TensorFlow
1.
Question 1
The Keras Functional API provides which of the following?
1 / 1 point
It allows you to define ad hoc acyclic network graphs.
It allows you to define a model that shares layers.
All of the above
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3.
Question 3
What is TensorFlow Data Validation?
1 / 1 point
It is an algorithm that is used to perform ML operations.
It is a tool that can be used to analyze data to find potential problems in data.
It is an open-source library used in ML.
None of the above.
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5.
Question 5
When is the Keras Sequential model not appropriate?
1 / 1 point
Your model has multiple inputs or multiple outputs.
Any of your layers has multiple inputs or multiple outputs.
You need to do layer sharing or non-linear topology.
All of the above
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2.
Question 2
Which statement is correct?
1 / 1 point
In the Keras Functional API, models are created by specifying their inputs and outputs in a graph of layers. That means that a single graph of layers can be used to generate multiple models.
In the Keras Sequential API, models are created by specifying their inputs and outputs in a graph of layers. That means that a single graph of layers can be used to generate multiple models.
In the Keras Sequential and Functional API’s, models are created by specifying their inputs and outputs in a graph of layers. That means that a single graph of layers can be used to generate multiple models.
None of the above
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4.
Question 4
How to Input Feature Columns to a Keras Model?
1 / 1 point
We can use a DenseFeatures layer to input them to a Keras model.
We can split the required columns into several buckets using a bucketized column.