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
Buy print copy
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.
Similar content being viewed by others
Keywords
Table of contents (12 chapters)
Authors and Affiliations
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