Deep Learning with Azure

Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Programming
Cover of the book Deep Learning with Azure by Mathew Salvaris, Danielle Dean, Wee Hyong Tok, Apress
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Mathew Salvaris, Danielle Dean, Wee Hyong Tok ISBN: 9781484236796
Publisher: Apress Publication: August 24, 2018
Imprint: Apress Language: English
Author: Mathew Salvaris, Danielle Dean, Wee Hyong Tok
ISBN: 9781484236796
Publisher: Apress
Publication: August 24, 2018
Imprint: Apress
Language: English

Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer.

Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI?

Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI.

What You'll Learn

  • Become familiar with the tools, infrastructure, and services available for deep learning on Microsoft Azure such as Azure Machine Learning services and Batch AI

  • Use pre-built AI capabilities (Computer Vision, OCR, gender, emotion, landmark detection, and more)

  • Understand the common deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs) with sample code and understand how the field is evolving

  • Discover the options for training and operationalizing deep learning models on Azure

Who This Book Is For

Professional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Get up-to-speed with Microsoft's AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer.

Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI into my business, but more about where do I begin and how do I get started with AI?

Written by expert data scientists at Microsoft, Deep Learning with the Microsoft AI Platform helps you with the how-to of doing deep learning on Azure and leveraging deep learning to create innovative and intelligent solutions. Benefit from guidance on where to begin your AI adventure, and learn how the cloud provides you with all the tools, infrastructure, and services you need to do AI.

What You'll Learn

Who This Book Is For

Professional data scientists who are interested in learning more about deep learning and how to use the Microsoft AI platform. Some experience with Python is helpful.

More books from Apress

Cover of the book C++ 14 Quick Syntax Reference by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Troubleshooting Oracle Performance by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Business Process Automation with ProcessMaker 3.1 by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Windows Group Policy Troubleshooting by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Winning Design! by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Beginning Android 3D Game Development by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Junk Box Arduino by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Hands-On Functional Test Automation by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Visual Studio Condensed by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Beginning Data Science in R by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Learn FileMaker Pro 16 by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Neural Networks in Unity by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Website Hosting and Migration with Amazon Web Services by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Advanced Topics in Java by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
Cover of the book Practical Apache Spark by Mathew Salvaris, Danielle Dean, Wee Hyong Tok
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy