This is the code repository for Hands-On Deep Learning for Images with TensorFlow, published by Packt.
Build intelligent computer vision applications using TensorFlow and Keras
TensorFlow is Google’s popular offering for machine learning and deep learning, quickly becoming a favorite tool for performing fast, efficient, and accurate deep learning tasks.
This book covers the following exciting features:
- Build machine learning models particularly focused on the MNIST digits
- Work with Docker and Keras to build an image classifier
- Understand natural language models to process text and images
- Prepare your dataset for machine learning
- Create classical, convolutional, and deep neural networks
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:
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Using TensorFlow backend.\n"
]
}
],
Following is what you need for this book:
Hands-On Deep Learning for Images with TensorFlow is for you if you are an application developer, data scientist, or machine learning practitioner looking to integrate machine learning into application software and master deep learning by implementing practical projects in TensorFlow. Knowledge of Python programming and basics of deep learning are required to get the best out of this book.
With the following software and hardware list you can run all code files present in the book (Chapter 1-5).
| Chapter | Software required | Hardware specifications | OS required |
|---|---|---|---|
| 1 | Docker | NVIDIA graphics card | Windows/Ubuntu |
| 2 | Docker | Windows/Ubuntu | |
| 3 | Docker | Windows/Ubuntu | |
| 4 | Docker | Windows/Ubuntu | |
| 5 | Docker | Windows/Ubuntu |
Will Ballard is the chief technology officer at GLG, responsible for engineering and IT. He was also responsible for the design and operation of large data centers that helped run site services for customers including Gannett, Hearst Magazines, NFL.com, NPR, The Washington Post, and Whole Foods. He has also held leadership roles in software development at NetSolve (now Cisco), NetSpend, and Works.com (now Bank of America).
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