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Free eBook - AI Crash Course

4 (24 reviews total)
By Hadelin de Ponteves
  • A new free eBook every day on the latest in tech
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  1. Welcome to the Robot World
About this book
Welcome to the Robot World … and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination.
Publication date:
November 2019
Publisher
Packt
Pages
360
ISBN
9781838645359

 

Discover Your AI Toolkit

In the previous chapter, you began your AI journey. Before you continue it, you need your AI toolkit. This book is not just theory; it also contains an easy-to-use toolkit of all the AI models as Python files, ready to run thanks to the amazing Google Colaboratory platform that you will also be introduced to in this chapter.

To fill your AI toolkit, I've prepared a GitHub page containing all the AI implementations for you to download, and Google Colab links of the Python notebooks containing the implementations, all ready to execute via an easy plug and play process.

 

The GitHub page

You will find all the code for this book ready for you to download from the following GitHub page:

https://github.com/PacktPublishing/AI-Crash-Course

To download the code, you simply need to click the Clone or download button, and then Download Zip:

Figure 1: The GitHub repository

Then, once you've downloaded these codes, feel free to open them with your favorite Python Integrated Development Environment (IDE), whether it's Jupyter Notebook, Spyder, a simple text editor, or even your terminal.

If you've never coded with Python before and have no idea of how to open the files with a Python editor, then no problem; I've prepared the best and simplest solution for you: Colaboratory (or Google Colab).

 

Colaboratory

Colaboratory is a free and open source environment for Python development that requires no setup and runs entirely on the cloud. It contains all the pre-installed packages required for your AI implementations so that they are ready to run with a simple plug and play process. By plug, I just mean to copy and paste the code inside a new Colab file (I'll explain how to open one next), and by play, I just mean to click on the play button (an example of that follows).

Here is the link to the main page of Colaboratory:

https://colab.research.google.com/notebooks/welcome.ipynb

You should get a page like this:

Figure 2: Colaboratory – main page

Click File in the upper left, and then click New Python 3 notebook:

Figure 3: Colaboratory – opening a notebook

Then you will get this view. Paste your Python code inside the cell (red arrow). That's the "plug" part:

Figure 4: Colaboratory – the...

 

Summary

In this chapter, you packed your luggage with our AI toolkit, which included not only the many AI models of this book, but also the very user-friendly Google Colaboratory environment. You saw how easy it was to plug and play our models from GitHub to Colaboratory. Now you just need coding skills to make you ready to begin the real journey. In the next chapter, you will have a chance to learn—or brush up on—your Python fundamentals.

About the Author
  • Hadelin de Ponteves

    Hadelin de Ponteves is the co-founder and CEO at BlueLife AI, which leverages the power of cutting-edge Artificial Intelligence to empower businesses to make massive profits by optimizing processes, maximizing efficiency, and increasing profitability. Hadelin is also an online entrepreneur who has created 50+ top-rated educational e-courses on topics such as machine learning, deep learning, artificial intelligence, and blockchain, which have reached over 700,000 subscribers in 204 countries.

    Browse publications by this author
Latest Reviews (24 reviews total)
An excellent read to start understanding AI & ML. It explains every technical points in so easy and plain English, I just love this book. Highly + Highly Recommended.
Computer books with colour diagrams do not translate well into black and white books. I feel conned and would get a refund if I could. I would have been better off ripping one from some dodgy site...
Fabulous
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