Book Image

Artificial Intelligence By Example

By : Denis Rothman
Book Image

Artificial Intelligence By Example

By: Denis Rothman

Overview of this book

Artificial intelligence has the potential to replicate humans in every field. Artificial Intelligence By Example serves as a starting point for you to understand how AI is built, with the help of intriguing examples and case studies. Artificial Intelligence By Example will make you an adaptive thinker and help you apply concepts to real-life scenarios. Using some of the most interesting AI examples, right from a simple chess engine to a cognitive chatbot, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and IoT, and develop emotional quotient in chatbots using neural networks. You will move on to designing AI solutions in a simple manner rather than get confused by complex architectures and techniques. This comprehensive guide will be a starter kit for you to develop AI applications on your own. By the end of this book, you will have understood the fundamentals of AI and worked through a number of case studies that will help you develop your business vision.
Table of Contents (19 chapters)

Technical requirements

You will need Python 3x with the following libraries:

from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
import matplotlib.pyplot as plt
import keras
import numpy as np
from keras.preprocessing.image import ImageDataGenerator
from keras.models import model_from_json
from keras.models import load_model
import numpy as np
import cv2
from PIL import Image

import json
from pprint import pprint

For the TensorFlow classifier you will need this:

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
#argparse is a Python command-line parsing module
import argparse
import os
import sys

Programs from GitHub can be found here: