hub_text_embedding_column

A string or [feature_column](https://tensorflow.rstudio.com/tfestimators/articles/feature_columns.html)
identifying the text feature.

A string handle or a _ModuleSpec identifying the module.

module_spec

Whether or not the Module is trainable. `FALSE` by default,
meaning the pre-trained weights are frozen. This is different from the ordinary
`tf.feature_column.embedding_column()`, but that one is intended for training
from scratch.

trainable

This feature column can be used on an input feature whose values are strings of
arbitrary size.

'TensorFlow' Hub is a library for the publication, discovery, and
consumption of reusable parts of machine learning models. A module is a
self-contained piece of a 'TensorFlow' graph, along with its weights and
assets, that can be reused across different tasks in a process known as
transfer learning. Transfer learning train a model with a smaller dataset,
improve generalization, and speed up training.

Daniel Falbel

hub_text_embedding_column: Module to construct a dense representation from a text feature.

Description

Usage

Arguments