Dr. Hermann Gundert Central Library catalog › Details for: Practical Deep Learning for Cloud, Mobile, and Edge real-world AI & computer-vision projects using python, keras & tensorflow

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Practical Deep Learning for Cloud, Mobile, and Edge real-world AI & computer-vision projects using python, keras & tensorflow

By: Koul, AnirudhContributor(s): Anirudh Koul | Ganju, Siddha | Kasam, MeherMaterial type: Text

TextPublication details: Mumbai Shroff Pub 2020Description: xxvi,558pISBN: 9789352139248Subject(s): Artificial Intelligence | Machine LearningDDC classification: 006.31 Summary: Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
BK	Kannur University Central Library Stack	Stack	006.31 ANI/P (Browse shelf (Opens below))	Available		68229

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Previous	006.310 151 STA/G Gentle introduction to support vector machines in biomedicine	006.31 ALI/F Feature engineering for machine learning : principles and techniques for data scientists	006.31 ALP/M introduction to machine learning	006.31 ANI/P Practical Deep Learning for Cloud, Mobile, and Edge real-world AI & computer-vision projects using python, keras & tensorflow	006.31 BON/B Building machine learning projects with TensorFlow : engaging projects that will teach you how complex data can be exploited to gain the most insight /	006.31 FEN/M Machine learning with Python for everyone	006.31 GER/H Hands-on machine learning with scikit-learn, keras, and tensorflow concepts, tools, and techniques to build intelligent systems	Next

Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach.

Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use.

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