Deep Learning with Applications Using Python

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Beschreibung

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.

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.

Über den Autor

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.

Zusammenfassung

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

Inhaltsverzeichnis

1. Basics of Tensorflow.- 2. Basics of Keras.- 3. Multilayered Perceptron.- 4. Regression to MLP in Tensorflow.- 5. Regression to MLP in Keras.- 6. CNN in Visuals.- 7. CNN with Tensorflow.- 8. CNN with Keras.- 9. RNN and LSTM .- 10. Speech to Text and Vice Versa.- 11. Developing Chatbots.- 12. Face Detection and Face Recognition.

Details

Erscheinungsjahr:	2018
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Seiten:	236
Inhalt:	xv 219 S. 261 s/w Illustr. 219 p. 261 illus.
ISBN-13:	9781484235157
ISBN-10:	1484235150
Sprache:	Englisch
Herstellernummer:	978-1-4842-3515-7
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Manaswi, Navin Kumar
Auflage:	1st ed.
Hersteller:	Apress Apress L.P.
Maße:	235 x 155 x 13 mm
Von/Mit:	Navin Kumar Manaswi
Erscheinungsdatum:	05.04.2018
Gewicht:	0,365 kg

preigu-id: 111194652