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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

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Product type Paperback
Published in Dec 2021
Publisher Packt
ISBN-13 9781800205253
Length 600 pages
Edition 1st Edition
Languages
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Authors (4):
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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
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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...

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