TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service – 1st Edition

(7) By David Paper
Book Format: Choose an option
Free download TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service - 1st ed. Edition by David Paper

Free download pdf book TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service – 1st ed. Edition by David Paper

Overview of the pdf book TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service – 1st ed. Edition

Use TensorFlow 2.x with Google’s Colaboratory (Colab) product that provides a free cloud service for Python programmers. Colab is particularly nicely suited as a platform for TensorFlow 2.x deep studying functions. You will be taught Colab’s default set up of the most present TensorFlow 2.x together with Colab’s easy accessibility to on-demand GPU {hardware} acceleration in the cloud for quick execution of deep studying fashions. This book presents you the alternative to grasp deep studying in an utilized method with the solely requirement being an Internet connection. Everything else―Python, TensorFlow 2.x, GPU help, and Jupyter Notebooks―is offered and prepared to go from Colab.

The book begins with an introduction to TensorFlow 2.x and the Google Colab cloud service. You will find out how to provision a workspace on Google Colab and construct a easy neural community utility. From there you’ll progress into TensorFlow datasets and constructing enter pipelines in help of modeling and testing. You will discover protection of deep studying classification and regression, with clear code examples exhibiting how to carry out every of these features. Advanced subjects coated in the book embody convolutional neural networks and recurrent neural networks.

This book incorporates all the utilized math and programming you want to grasp the content material. Examples vary from easy to comparatively advanced when obligatory to guarantee acquisition of applicable deep studying ideas and constructs. Examples are rigorously defined, concise, correct, and full to completely complement deep studying ability improvement. Care is taken to stroll you thru the foundational rules of deep studying by way of clear examples written in Python that you may check out and experiment with utilizing Google Colab from the consolation of your individual residence or workplace.

What You Will Learn
  • Be conversant in the primary ideas and constructs of utilized deep studying
  • Create machine studying fashions with clear and dependable Python code
  • Work with datasets widespread to deep studying functions
  • Prepare information for TensorFlow consumption
  • Take benefit of Google Colab’s built-in help for deep studying
  • Execute deep studying experiments utilizing a wide range of neural community fashions
  • Be in a position to mount Google Colab immediately to your Google Drive account
  • Visualize coaching versus check efficiency to see mannequin match
Who This Book Is For

Readers who need to be taught the extremely widespread TensorFlow 2.x deep studying platform, those that want to grasp deep studying fundamentals which might be typically omitted in the rush to be productive, and people wanting to construct competency with a contemporary cloud service device akin to Google Colab

Formats: PDF
Pages: 287 pages
Publication date: 12 Feb 2021
Publisher: Apress
Language: English
ISBN 10: 148426648X
ISBN 13: 978-1484266489

Write a Review

Select a rating (required)