Keyword Analysis & Research: automodell


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Frequently Asked Questions

What is automodel in autoa?

A Model defined by inputs and outputs. AutoModel combines a HyperModel and a Tuner to tune the HyperModel. The user can use it in a similar way to a Keras model since it also has fit () and predict () methods. The AutoModel has two use cases. In the first case, the user only specifies the input nodes and output heads of the AutoModel.

What is the use case for automodel?

The AutoModel has two use cases. In the first case, the user only specifies the input nodes and output heads of the AutoModel. The AutoModel infers the rest part of the model.

How to use automodel like keras model?

The user can use it in a similar way to a Keras model since it also has fit () and predict () methods. The AutoModel has two use cases. In the first case, the user only specifies the input nodes and output heads of the AutoModel. The AutoModel infers the rest part of the model.

How to specify the high-level architecture of the automodel?

In the first case, the user only specifies the input nodes and output heads of the AutoModel. The AutoModel infers the rest part of the model. In the second case, user can specify the high-level architecture of the AutoModel by connecting the Blocks with the functional API, which is the same as the Keras functional API.


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