This is the code repository for [Hands-on Deep Learning for IoT](Packt UTM URL of the Book), published by Packt.
Train neural network models to develop intelligent IoT applications
Artificial Intelligence is growing quickly, which is driven by advancements in neural networks(NN) and deep learning (DL). With an increase in investments in smart cities, smart healthcare, and industrial Internet of Things (IoT), commercialization of IoT will soon be at peak in which massive amounts of data generated by IoT devices need to be processed at scale.
This book covers the following exciting features: <First 5 What you'll learn points>
- Get acquainted with different neural network architectures and their suitability in IoT
- Understand how deep learning can improve the predictive power in your IoT solutions
- Capture and process streaming data for predictive maintenance
- Select optimal frameworks for image recognition and indoor localization
- Analyze voice data for speech recognition in IoT applications
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:
if (test expression)
{
Statement upon condition is true
}
Following is what you need for this book: Copy and paste the Audience section from the EPIC.
With the following software and hardware list you can run all code files present in the book (Chapter 1-15).
| Chapter | Software required | OS required |
|---|---|---|
| 1 | R version 3.3.0 | Windows, Mac OS X, and Linux (Any) |
| 2 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 3 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 4 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 5 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 6 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 7 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 8 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 9 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 10 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 11 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 12 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 13 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 14 | Rstudio Desktop 0.99.903 | Windows, Mac OS X, and Linux (Any) |
| 15 | Rstudio Desktop 0.99.903 | 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](Graphics Bundle Link).
Click on the following link to see the Code in Action:
Author Name Bio
Author Name Bio
Click here if you have any feedback or suggestions.
If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.
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