Intel Deep Learning Frameworks
Apress (Verlag)
978-1-4842-3981-0 (ISBN)
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You will then learn about another open-source deep learning framework from Intel: Open Vino. You'll start with an introduction to Open Vino and then move ahead with the installation. Finally, you'll further explore Open Vino framework applications, with extensive examples to work through.
To round out your toolkit for deep-learning development, Intel Deep Learning Frameworks finishes by demonstrating a range of options: Intel Optimized Python; Intel Optimized MXNet; and the Intel AI Cluster.
What You'll Learn
Install and work with the Intel Deep Learning SDK
Understand Intel Optimized TensorFlow
Use the new Intel Open Vino Toolkit
Work with Intel Optimized Python
Harness Intel Optimized MXNet
Get started with Intel AI Cluster
Who This Book Is For
Data scientists and developers who want to adapt and build deep learning applications.
Manisha Biswas completed her Bachelor of Technology in Information Technology and is currently working as a data scientist in an IT firm in Kolkata, India. Manisha is involved with several areas of technology including web development, IoT, soft computing and artificial intelligence. She is also an Intel Software Innovator and was awarded the Shri Dewang Mehta IT Award 2016 by NASSCOM. Manisha is a founder of Women in Technology Community in Kolkata, India to empower women to learn and explore new technologies. Manisha has always had a passion for inventing things, creating something new, and inventing new looks for old things. When not in front of her terminal, she is an explorer, a foodie, a doodler, and a dreamer. Manisha is always very passionate and eager to share her knowledge and ideas with others. She is following that passion by sharing her experiences with the community as organizer at Google Developer Groups Kolkata and leading the Women Techmakers Kolkata Chapter. This passion is what inspired Manisha to become an author and write this book. Abhishek Nandy is B.Tech in IT and is a constant learner. He is a Microsoft MVP in Windows Platform, an Intel Black Belt Developer, and an Intel Software Innovator. He has a keen interest in AI, IoT, and game development. Currently serving as an application architect in an IT firm as well as consulting in AI and IoT. He is also an AI trainer and drives the technical part of the Intel AI student developer program. He was involved in the first Make in India initiative where he was among the top 50 innovators and was trained in IIMA.
Chapter 1: Intel Deep Learning Deployment toolkit
Chapter 2: Intel Optimized TensorFlow
Chapter 3: Open Vino Toolkit
Chapter 4: Intel Optimized Python and other tools
Chapter 5: Mxnet Intel Optimized
Chapter 6: Intel AI Cloud cluster
| Erscheint lt. Verlag | 17.3.2019 |
|---|---|
| Zusatzinfo | XV, 235 p. |
| Verlagsort | Berkley |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Schlagworte | Brain Script • Convolution Neural Networks • Deep learning • Intel SDK • Microsoft CNTK • Neon Nervana • Python • Recurrent Neural Networks |
| ISBN-10 | 1-4842-3981-4 / 1484239814 |
| ISBN-13 | 978-1-4842-3981-0 / 9781484239810 |
| Zustand | Neuware |
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