Book Image

Cognitive Computing with IBM Watson

By : Rob High, Tanmay Bakshi
Book Image

Cognitive Computing with IBM Watson

By: Rob High, Tanmay Bakshi

Overview of this book

Cognitive computing is rapidly becoming a part of every aspect of our lives through data science, machine learning (ML), and artificial intelligence (AI). It allows computing systems to learn and keep on improving as the amount of data in the system increases. This book introduces you to a whole new paradigm of computing – a paradigm that is totally different from the conventional computing of the Information Age. You will learn the concepts of ML, deep learning (DL), neural networks, and AI with the help of IBM Watson APIs. This book will help you build your own applications to understand, and solve problems, and analyze them as per your needs. You will explore various domains of cognitive computing, such as NLP, voice processing, computer vision, emotion analytics, and conversational systems. Equipped with the knowledge of machine learning concepts, how computers do their magic, and the applications of these concepts, you’ll be able to research and apply cognitive computing in your projects.
Table of Contents (16 chapters)
Title Page
Copyright and Credits
About Packt

Chapter 3. Computer Vision

Welcome to the third chapter in your journey into the world of Watson. In this chapter, you're going to learn about computer vision! In doing so, you're also going to learn a lot more about the underlying visual systems in animals, how and why computer vision evolved, and why understanding visual data is so complex. I'll then walk you through how you can implement computer vision with Watson; we'll do this with both custom datasets and some pre-trained classifiers from Watson, such as those for facial detection.

In this chapter, we will cover the following topics:

  • Can machines visually perceive the world around them?
  • Uploading data and training the classifier
  • Creating a Python application to classify with Watson