This is the code repository for Hands-On Artificial Intelligence for Beginners, published by Packt.
An introduction to AI concepts, algorithms, and their implementation
Virtual Assistants, such as Alexa and Siri, process our requests, Google's cars have started to read addresses, and Amazon's prices and Netflix's recommended videos are decided by AI. Artificial Intelligence is one of the most exciting technologies and is becoming increasingly significant in the modern world.
This book covers the following exciting features:
- Use TensorFlow packages to create AI systems
- Build feedforward, convolutional, and recurrent neural networks
- Implement generative models for text generation
- Build reinforcement learning algorithms to play games
- Assemble RNNs, CNNs, and decoders to create an intelligent assistant
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)
Following is what you need for this book: This book is designed for beginners in AI, aspiring AI developers, as well as machine learning enthusiasts with an interest in leveraging various algorithms to build powerful AI applications.
With the following software and hardware list you can run all code files present in the book (Chapter 1-13).
Chapter | Software required | OS required |
---|---|---|
1-13 | Jupyter Notebook | Windows, Mac OS X, and Linux (Any) |
We also provide a PDF file that has color images of the screenshots/diagrams used in this book. Click here to download it.
Patrick Smithis the Data Science Lead for Excella in Arlington, Virginia, where he founded the data science and machine learning team. Prior to Excella, Patrick was the lead instructor for the data science program at General Assembly in Washington, DC, as well as a data scientist with Booz Allen Hamilton's Strategic Innovations Group.
He holds a bachelor's degree from The George Washington University in International Economics, and is currently a part-time masters student in software engineering at Harvard University.
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