Authors:
- 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
Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (12 chapters)
-
Front Matter
-
Back Matter
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.
Authors and Affiliations
-
Bangalore, India
Navin Kumar Manaswi
About the author
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