Overview
- Industry-standard Deep Learning practices demonstrated
- Detailed explanations of Face Recognition, Face Detection Algorithms, Object Detection
- Algorithms and Codes
- Comparative analysis of Watson, Azure, Amazon and other Open Sources
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About this book
This book covers convolutional neural networks, recurrent neural networks, and multilayer perceptrons. It also discusses popular APIs such as IBM Watson, Microsoft Azure, and scikit-learn.
What You Will Learn
- Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn.
- Use face recognition and face detection capabilities
- Create speech-to-text and text-to-speech functionality
- Engage with chatbots using deep learning
Who This Book Is For
Data scientists and developers who want to adapt and build deep learning applications.
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Accessibility Information
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Bibliographic Information
Book Title: Deep Learning with Applications Using Python
Book Subtitle: Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
Authors: Navin Kumar Manaswi
DOI: https://doi.org/10.1007/978-1-4842-3516-4
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Navin Kumar Manaswi 2018
Softcover ISBN: 978-1-4842-3515-7Published: 05 April 2018
eBook ISBN: 978-1-4842-3516-4Published: 04 April 2018
Edition Number: 1
Number of Pages: XV, 219
Number of Illustrations: 261 b/w illustrations
Topics: Artificial Intelligence, Python, Big Data
