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

$15.99

TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service
Authors: David Paper
Year: 2021
Publisher: Apress
Language: English
ISBN 13: 9781484266489
ISBN 10: 148426648X
Categories: Computers, Computer Science
Pages: 320 / 319
Edition: 1

Availability: 5000 in stock

SKU: 9781484266489 Categories: ,

TensorFlow x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service David Paper
Intermediate-Advanced user levelUse TensorFlow x with Google’s Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow x deep learning applications. You will learn Colab’s default install of the most current TensorFlow x along with Colab’s easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep learning models. This book offers you the opportunity to grasp deep learning in an applied manner with the only requirement being an Internet connection. Everything else–Python, TensorFlow x, GPU support, and Jupyter Notbooks–is provided and ready to go from Colab. 
The book begins with an introduction to TensorFlow x and the Google Colab cloud service. You will learn how to provision a workspace on Google Colab and build a simple neural network application. From there you will progress into TensorFlow datasets and building input pipelines in support of modeling and testing. You will find coverage of deep learning classification and regression, with clear code examples showing how to perform each of those functions. Advanced topics covered in the book include convolutional neural networks and recurrent neural networks.
This book contains all the applied math and programming you need to master the content. Examples range from simple to relatively complex when necessary to ensure acquisition of appropriate deep learning concepts and constructs. Examples are carefully explained, concise, accurate, and complete to perfectly complement deep learning skill development. Care is taken to walk you through the foundational principles of deep learning through clear examples written in Python that you can try out and experiment with using Google Colab from the comfort of your own home or office.
Categories:
Computers – Computer Science
Year:
2021
Edition:
1
Publisher:
Apress
Language:
english
Pages:
288 / 279
ISBN 10:
148426648X
ISBN 13:
9781484266489
File:
90 MB

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TensorFlow 2.x in the Colaboratory Cloud: An Introduction to Deep Learning on Google’s Cloud Service
$15.99

Availability: 5000 in stock