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Coding neural networks with TensorFlow 2.0

Dive into deep learning, an emerging artificial intelligence (AI) technique that uses sophisticated analysis structures called neural networks to make accurate associations within a set of data. Oliver Zeigermann, a machine learning instructor at Hamburg University of Applied Sciences and the author...

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Bibliographic Details
Format: eBook
Language:English
Published: [Place of publication not identified] Manning Publications 2020
Edition:[First edition]
Subjects:
Réseaux Neuronaux (informatique)
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Artificial Intelligence / Http://id.loc.gov/authorities/subjects/sh85008180
Artificial Intelligence
Neural Networks, Computer
Intelligence Artificielle
Neural Networks (computer Science) / Http://id.loc.gov/authorities/subjects/sh90001937
Apprentissage Automatique
Artificial Intelligence / Fast / (ocolc)fst00817247
Artificial Intelligence / Aat
Neural Networks (computer Science) / Fast / (ocolc)fst01036260
Tensorflow / Http://id.loc.gov/authorities/names/n2019020612
Machine Learning / Fast / (ocolc)fst01004795
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary:Dive into deep learning, an emerging artificial intelligence (AI) technique that uses sophisticated analysis structures called neural networks to make accurate associations within a set of data. Oliver Zeigermann, a machine learning instructor at Hamburg University of Applied Sciences and the author of Manning's liveVideo course, demonstrates how to use the most popular Python-based deep learning tools, including scikit-learn, Keras, and TensorFlow 2.0
Physical Description:1 video file (53 min.) sound, color

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