prep.step_pretrained_text_embedding

training

info

<p>One or more selector functions to choose variables.</p>

<p>Prep method for step_pretrained_text_embedding</p>

'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

tfhub

Interface to 'TensorFlow' Hub

JJ Allaire

RStudio 

 Google Inc.

prep.step_pretrained_text_embedding function

Prep method for step_pretrained_text_embedding — prep.step_pretrained_text_embedding

Prep method for step_pretrained_text_embedding

prep.step_pretrained_text_embedding: Prep method for step_pretrained_text_embedding

Description

Usage

Arguments