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Deep Learning with Applications Using Python

Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras

  • Book
  • © 2018

Overview

Authors:
  1. Navin Kumar Manaswi

    1. Bangalore, India

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  • 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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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xv
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  2. Basics of TensorFlow

    • Navin Kumar Manaswi
    Pages 1-30

  3. Understanding and Working with Keras

    • Navin Kumar Manaswi
    Pages 31-43

  4. Multilayer Perceptron

    • Navin Kumar Manaswi
    Pages 45-56

  5. Regression to MLP in TensorFlow

    • Navin Kumar Manaswi
    Pages 57-68

  6. Regression to MLP in Keras

    • Navin Kumar Manaswi
    Pages 69-89

  7. Convolutional Neural Networks

    • Navin Kumar Manaswi
    Pages 91-96

  8. CNN in TensorFlow

    • Navin Kumar Manaswi
    Pages 97-104

  9. CNN in Keras

    • Navin Kumar Manaswi
    Pages 105-114

  10. RNN and LSTM

    • Navin Kumar Manaswi
    Pages 115-126

  11. Speech to Text and Vice Versa

    • Navin Kumar Manaswi
    Pages 127-144

  12. Developing Chatbots

    • Navin Kumar Manaswi
    Pages 145-170

  13. Face Detection and Recognition

    • Navin Kumar Manaswi
    Pages 171-199

  14. Back Matter

    Pages 201-219
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Keywords

About this book

Explore deep learning applications, such as computer vision, speech recognition, and chatbots, using frameworks such as TensorFlow and Keras. This book helps you to ramp up your practical know-how in a short period of time and focuses you on the domain, models, and algorithms required for deep learning applications. Deep Learning with Applications Using Python covers topics such as chatbots, natural language processing, and face and object recognition. The goal is to equip you with the concepts, techniques, and algorithm implementations needed to create programs capable of performing deep learning.


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

Navin K Manaswi has been developing AI solutions/products with the use of cutting edge technologies and sciences related to artificial intelligence for many years. Having worked for consulting companies in Malaysia, Singapore and the Dubai Smart City project, he has developed a rare skill of delivering end-to-end data science solutions. He has been building solutions for video intelligence, document intelligence and human-like chatbots in his own company. 

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

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