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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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Toc

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

Technical requirements

Python 3.6x 64-bit from https://www.python.org/.

Packages and modules:

 import numpy as ql
from matplotlib.ticker import FuncFormatter
import matplotlib.pyplot as plt
from matplotlib.path import Path
import matplotlib.patches as patches
import random
import math
import time
from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
import keras
from keras.preprocessing.image import ImageDataGenerator
from keras.models import model_from_json
from keras.models import load_model
import scipy.misc
from PIL import Image

GitHub Chapter12:

  • CNN_CONCEPT_STRATEGY.py
  • MDP_Graph.py

Check out the following video to see the code in action:

https://goo.gl/vScnD3

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