Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
The TensorFlow Workshop

You're reading from   The TensorFlow Workshop A hands-on guide to building deep learning models from scratch using real-world datasets

Arrow left icon
Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781800205253
Length 600 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (4):
Arrow left icon
Matthew Moocarme Matthew Moocarme
Author Profile Icon Matthew Moocarme
Matthew Moocarme
Abhranshu Bagchi Abhranshu Bagchi
Author Profile Icon Abhranshu Bagchi
Abhranshu Bagchi
Anthony Maddalone Anthony Maddalone
Author Profile Icon Anthony Maddalone
Anthony Maddalone
Anthony So Anthony So
Author Profile Icon Anthony So
Anthony So
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface
1. Introduction to Machine Learning with TensorFlow 2. Loading and Processing Data FREE CHAPTER 3. TensorFlow Development 4. Regression and Classification Models 5. Classification Models 6. Regularization and Hyperparameter Tuning 7. Convolutional Neural Networks 8. Pre-Trained Networks 9. Recurrent Neural Networks 10. Custom TensorFlow Components 11. Generative Models Appendix

Google Colab

Google Colab enables users to execute code on Google servers and is designed specifically for data science practitioners to develop code for machine learning in a collaborative environment. The platform is available at https://colab.research.google.com/ and offers an opportunity to develop in the Python programming language directly within a web browser with no code executing on your local machine. The environment comes pre-loaded with up-to-date libraries for data science and machine learning and offers a convenient alternative to setting up a development environment using Jupyter Notebooks. Moreover, the platform has a free tier that includes access to GPUs and TPUs, there is no configuration required, and sharing notebooks between collaborators is easy.

Google Colab has a very similar development experience to Jupyter Notebooks, and there are some advantages and disadvantages of using Google Colab over Jupyter Notebooks.

Advantages of Google Colab...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime