Deep Learning with Applications Using Python (PDF)
Chatbots and Face, Object, and Speech Recognition With TensorFlow and Keras
(Sprache: Englisch)
Build 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,...
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Produktinformationen zu „Deep Learning with Applications Using Python (PDF)“
Build 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.
You will:
- Work with various deep learning frameworks such as TensorFlow, Keras, and scikit-learn.
- Build face recognition and face detection capabilities
- Create speech-to-text and text-to-speech functionality
- Make chatbots using deep learning
Autoren-Porträt von Navin Kumar Manaswi
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.
Bibliographische Angaben
- Autor: Navin Kumar Manaswi
- 2018, 1st ed, 219 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1484235169
- ISBN-13: 9781484235164
- Erscheinungsdatum: 04.04.2018
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 11 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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