Deep Learning with Applications Using Python

Navin Kumar Manaswi

ISBN 10: 1484235150 / ISBN 13: 9781484235157

Published by APress, US, 2018

About this Item

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 capabilitiesCreate speech-to-text and text-to-speech functionalityEngage with chatbots using deep learningWho This Book Is ForData scientists and developers who want to adapt and build deep learning applications.

Seller Inventory # LU-9781484235157

Bibliographic Details

• Title: Deep Learning with Applications Using Python
• Publisher: APress, US
• Publication Date: 2018
• Language: English
• ISBN 10: 1484235150
• ISBN 13: 9781484235157
• Binding: Paperback
• Condition: New

About this title

Synopsis

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.

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.