Get Free Shipping on orders over $79
TensorFlow 2 Pocket Reference : Building and Deploying Machine Learning Models - KC Tung

TensorFlow 2 Pocket Reference

Building and Deploying Machine Learning Models

By: KC Tung

eText | 19 July 2021 | Edition Number 1

At a Glance

eText


$24.19

or 4 interest-free payments of $6.05 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.

When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the training process? How do you leverage a pretrained model using transfer learning? How do you perform hyperparameter tuning? Pick up this pocket reference and reduce the time you spend searching through options for your TensorFlow use cases.

  • Understand best practices in TensorFlow model patterns and ML workflows
  • Use code snippets as templates in building TensorFlow models and workflows
  • Save development time by integrating prebuilt models in TensorFlow Hub
  • Make informed design choices about data ingestion, training paradigms, model saving, and inferencing
  • Address common scenarios such as model design style, data ingestion workflow, model training, and tuning
on
Desktop
Tablet
Mobile

More in Computer Vision

Mastering Invideo AI - Robert Keyser

eBOOK

Mastering Chat GPT - Robert Keyser

eBOOK

Everyday AI - Guenter Schamel

eBOOK

$7.99

A I(M) Here to Stay - Jonathon Wetzel

eBOOK