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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 5 – Manage the Power of Machine Learning and Deep Learning

1. TensorBoard is simply a nice displaying program. (Yes | No)

The answer is yes and no. Yes, TensorBoard is a friendly interface for visualizing a dataflow graph. No, TensorBoard is not only nice but is also critical to designing the architecture of a project even before the data feed aspect of the program is written. In real-life projects, a good architecture shows that you can manage the power of ML/DL programs.

2. Defining functions at the beginning of the source code is just like standard programs. (Yes | No)

No. Seeing variables and arrays at the beginning of a TensorFlow program could lead one to think that it is just a formality. However, these lines are in fact the real program, the dataflow graph, the architecture.

3. TensorFlow is a library add-on to Python that provides some cool functions...

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