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Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras - Couverture souple

Fandango, Armando

 
9781788292061: Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras
Couverture souple
ISBN 10 : 1788292065 ISBN 13 : 9781788292061
Editeur : Packt Publishing, 2018

Synopsis

We cover advanced deep learning concepts (such as transfer learning, generative adversarial models, and reinforcement learning), and implement them using TensorFlow and Keras. We cover how to build and deploy at scale with distributed models. You will learn to build TensorFlow models using R, Keras, TensorFlow Learn, TensorFlow Slim and Sonnet

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l'auteur

Armando Fandango creates AI-empowered products by leveraging his expertise in deep learning, computational methods, and distributed computing. He advises Owen.ai Inc on AI product strategy. He founded NeuraSights Inc. with the goal of creating insights using neural networks. He is the founder of Vets2Data Inc., a non-profit organization assisting US military veterans in building AI skills.Armando has authored books titled Python Data Analysis - 2nd Edition and Mastering TensorFlow and published research in international journals and conferences.

À propos de la quatrième de couverture

We cover advanced deep learning concepts (such as transfer learning, generative adversarial models, and reinforcement learning), and implement them using TensorFlow and Keras. We cover how to build and deploy at scale with distributed models. You will learn to build TensorFlow models using R, Keras, TensorFlow Learn, TensorFlow Slim and Sonnet

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Packt Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
1788292065
ISBN 13 
9781788292061
Reliure
Broché
Nombre de pages
474
Coordonnées du fabricant
non disponible
Personne responsable
GPSR Kontakt
gpsr@libri.de

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