Skip to Main Content
Learning TensorFlow.js
book

Learning TensorFlow.js

by Gant Laborde
May 2021
Intermediate to advanced content levelIntermediate to advanced
338 pages
7h 44m
English
O'Reilly Media, Inc.
Content preview from Learning TensorFlow.js

Chapter 8. Training Models

“Ask not for a lighter burden, but for broader shoulders.”

—Jewish proverb

While the supply of impressive models and data will continue to grow and overflow, it’s reasonable that you’ll want to do more than just consume TensorFlow.js models. You’ll come up with the idea that’s never been done before, and there won’t be an off-the-shelf option that day. It’s time for you to train your own model.

Yes, this is the task where the best minds in the world compete. While libraries could be written about the math, strategy, and methodology of training models, a core understanding will be vital. It’s crucial that you become familiar with the basic concepts and benefits of training a model with TensorFlow.js to take full advantage of the framework.

We will:

  • Train your first model in JavaScript code

  • Advance your understanding of model architecture

  • Review how to keep track of status during training

  • Cover some fundamental concepts of training

When you finish this chapter, you’ll be armed with a few ways of training a model and a better understanding of the process of using data to make a machine learning solution.

Training 101

It’s time to peel back the magic and train a model with JavaScript. While Teachable Machine is a great tool, it’s limited. To really empower machine learning, you’re going to have to identify the problem you want to solve and then teach a machine to find the patterns for a solution. To do this, we’ll view a problem through the ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Learning Go

Learning Go

Jon Bodner
Learning Algorithms

Learning Algorithms

George Heineman
Learning Spark, 2nd Edition

Learning Spark, 2nd Edition

Jules S. Damji, Brooke Wenig, Tathagata Das, Denny Lee

Publisher Resources

ISBN: 9781492090786Errata PageSupplemental Content