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Artificial Intelligence By Example

You're reading from   Artificial Intelligence By Example Develop machine intelligence from scratch using real artificial intelligence use cases

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Product type Paperback
Published in May 2018
Publisher Packt
ISBN-13 9781788990547
Length 490 pages
Edition 1st Edition
Languages
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Author (1):
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Denis Rothman Denis Rothman
Author Profile Icon Denis Rothman
Denis Rothman
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Table of Contents (19) Chapters Close

Preface 1. Become an Adaptive Thinker 2. Think like a Machine FREE CHAPTER 3. Apply Machine Thinking to a Human Problem 4. Become an Unconventional Innovator 5. Manage the Power of Machine Learning and Deep Learning 6. Don't Get Lost in Techniques – Focus on Optimizing Your Solutions 7. When and How to Use Artificial Intelligence 8. Revolutions Designed for Some Corporations and Disruptive Innovations for Small to Large Companies 9. Getting Your Neurons to Work 10. Applying Biomimicking to Artificial Intelligence 11. Conceptual Representation Learning 12. Automated Planning and Scheduling 13. AI and the Internet of Things (IoT) 14. Optimizing Blockchains with AI 15. Cognitive NLP Chatbots 16. Improve the Emotional Intelligence Deficiencies of Chatbots 17. Quantum Computers That Think 18. Answers to the Questions

Chapter 12 – Automated Planning and Scheduling

1 A CNN can be trained to understand an abstract concept. (Yes | No)

Yes. A CNN can classify images and make predictions. But CNNs can analyze any type of object or representation. An image, for example, can be linked to a word or phrase. The image thus becomes a message in itself.

2. It is better to avoid concepts and only use real-life images. (Yes | No)

No. Images provide many practical applications, but at some point, more is required to solve planning problems for example.

Planning requires much more than this type of dataset.

3. Planning and scheduling mean the same thing. (Yes | No)

No. Planning describes the tasks that must be carried out. Scheduling adds a time factor. Planning tells us what to do, and scheduling tells us when.

4. Amazon's manufacturing patent is a revolution. (Yes | No)

No. Manufacturing clothing...

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