Keras to Kubernetes
eBook - ePub

Keras to Kubernetes

The Journey of a Machine Learning Model to Production

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Keras to Kubernetes

The Journey of a Machine Learning Model to Production

About this book

Build a Keras model to scale and deploy on a Kubernetes cluster

We have seen an exponential growth in the use of Artificial Intelligence (AI) over last few years. AI is becoming the new electricity and is touching every industry from retail to manufacturing to healthcare to entertainment. Within AI, were seeing a particular growth in Machine Learning (ML) and Deep Learning (DL) applications. ML is all about learning relationships from labeled (Supervised) or unlabeled data (Unsupervised). DL has many layers of learning and can extract patterns from unstructured data like images, video, audio, etc.

Keras to Kubernetes: The Journey of a Machine Learning Model to Production takes you through real-world examples of building DL models in Keras for recognizing product logos in images and extracting sentiment from text. You will then take that trained model and package it as a web application container before learning how to deploy this model at scale on a Kubernetes cluster. You will understand the different practical steps involved in real-world ML implementations which go beyond the algorithms.

• Find hands-on learning examples

• Learn to uses Keras and Kubernetes to deploy Machine Learning models

• Discover new ways to collect and manage your image and text data with Machine Learning

• Reuse examples as-is to deploy your models

• Understand the ML model development lifecycle and deployment to production

If youre ready to learn about one of the most popular DL frameworks and build production applications with it, youve come to the right place!

Frequently asked questions

Yes, you can cancel anytime from the Subscription tab in your account settings on the Perlego website. Your subscription will stay active until the end of your current billing period. Learn how to cancel your subscription.
No, books cannot be downloaded as external files, such as PDFs, for use outside of Perlego. However, you can download books within the Perlego app for offline reading on mobile or tablet. Learn more here.
Perlego offers two plans: Essential and Complete
  • Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
  • Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Both plans are available with monthly, semester, or annual billing cycles.
We are an online textbook subscription service, where you can get access to an entire online library for less than the price of a single book per month. With over 1 million books across 1000+ topics, we’ve got you covered! Learn more here.
Look out for the read-aloud symbol on your next book to see if you can listen to it. The read-aloud tool reads text aloud for you, highlighting the text as it is being read. You can pause it, speed it up and slow it down. Learn more here.
Yes! You can use the Perlego app on both iOS or Android devices to read anytime, anywhere — even offline. Perfect for commutes or when you’re on the go.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Yes, you can access Keras to Kubernetes by Dattaraj Rao in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Table of Contents
  3. Introduction
  4. CHAPTER 1: Big Data and Artificial Intelligence
  5. CHAPTER 2: Machine Learning
  6. CHAPTER 3: Handling Unstructured Data
  7. CHAPTER 4: Deep Learning Using Keras
  8. CHAPTER 5: Advanced Deep Learning
  9. CHAPTER 6: Cutting‐Edge Deep Learning Projects
  10. CHAPTER 7: AI in the Modern Software World
  11. CHAPTER 8: Deploying AI Models as Microservices
  12. CHAPTER 9: Machine Learning Development Lifecycle
  13. CHAPTER 10: A Platform for Machine Learning
  14. APPENDIX A: References
  15. Index
  16. End User License Agreement