Deep Learning with Applications Using Python

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

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Programming, Programming Languages, General Computing
Cover of the book Deep Learning with Applications Using Python by Navin Kumar Manaswi, Apress
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Navin Kumar Manaswi ISBN: 9781484235164
Publisher: Apress Publication: April 4, 2018
Imprint: Apress Language: English
Author: Navin Kumar Manaswi
ISBN: 9781484235164
Publisher: Apress
Publication: April 4, 2018
Imprint: Apress
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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 **

Who This Book Is For

Data scientists and developers who want to adapt and build deep learning applications.

More books from Apress

Cover of the book Low-Level Programming by Navin Kumar Manaswi
Cover of the book Migrating from Drupal to Backdrop by Navin Kumar Manaswi
Cover of the book Pro C# 7 by Navin Kumar Manaswi
Cover of the book Creating Blogs with Jekyll by Navin Kumar Manaswi
Cover of the book Black Hat by Navin Kumar Manaswi
Cover of the book Java Unit Testing with JUnit 5 by Navin Kumar Manaswi
Cover of the book Material Design Implementation with AngularJS by Navin Kumar Manaswi
Cover of the book Expert Apache Cassandra Administration by Navin Kumar Manaswi
Cover of the book Digital Illustration Fundamentals by Navin Kumar Manaswi
Cover of the book The Blockchain Alternative by Navin Kumar Manaswi
Cover of the book MicroPython for the Internet of Things by Navin Kumar Manaswi
Cover of the book Machine Learning Using R by Navin Kumar Manaswi
Cover of the book Practical Artificial Intelligence by Navin Kumar Manaswi
Cover of the book Windows 8 and Windows Phone 8 Game Development by Navin Kumar Manaswi
Cover of the book Android Studio Game Development by Navin Kumar Manaswi
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy