Hands-on machine learning with Scikit-Learn, Keras and TensorFlow / Aurélien Géron

Public ISBD Titre : Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems Type de document : texte imprimé Auteurs : Aurélien Géron, Auteur Mention d'édition : 2nd edition Editeur : Beijing : O'Reilly Année de publication : 2019 Importance : 1 vol. (XXV-819 p.) Présentation : ill. en coul., couv. ill. en coul. Format : 24 cm ISBN/ISSN/EAN : 978-1-4920-3264-9 Langues : Anglais (eng) Index. décimale : 004.8 Intelligence artificielle Résumé : "Through a series of breakthroughs, Deep Learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. The updated edition of this best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques that you can quickly put to use. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. All code is available on GitHub. It has been updated to TensorFlow 2 and the latest version of Scikit-Learn. - Learn Machine Learning fundamentals through an end-to-end project using Scikit-Learn and pandas. - Build and train many neural network architectures for classification and regression using TensorFlow 2 ; - Discover object detection, semantic segmentation, attention mechanisms, language models, GANs, and more ; - Explore the Keras API, the official high-level API for TensorFlow 2 ; - Productionize TensorFlow models using TensorFlow's Data API, distribution strategies API, TF Transform, and TF-Serving ; - Deploy on Google Cloud AI Platform or on mobile devices ; - Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection ; - Create autonomous learning agents with Reinforcement Learning, including using the TF-Agents library. Biographie d'Aur?elien G?eron : Aur?elien G?eron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012." Permalink : ./index.php?lvl=notice_display&id=103937 Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems [texte imprimé] / Aurélien Géron, Auteur  . -  2nd edition . - Beijing : O'Reilly, 2019 . - 1 vol. (XXV-819 p.) : ill. en coul., couv. ill. en coul. ; 24 cm. ISBN : 978-1-4920-3264-9 Langues : Anglais (eng) Index. décimale : 004.8 Intelligence artificielle Résumé : "Through a series of breakthroughs, Deep Learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. The updated edition of this best-selling book uses concrete examples, minimal theory, and production-ready Python frameworks to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques that you can quickly put to use. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started. All code is available on GitHub. It has been updated to TensorFlow 2 and the latest version of Scikit-Learn. - Learn Machine Learning fundamentals through an end-to-end project using Scikit-Learn and pandas. - Build and train many neural network architectures for classification and regression using TensorFlow 2 ; - Discover object detection, semantic segmentation, attention mechanisms, language models, GANs, and more ; - Explore the Keras API, the official high-level API for TensorFlow 2 ; - Productionize TensorFlow models using TensorFlow's Data API, distribution strategies API, TF Transform, and TF-Serving ; - Deploy on Google Cloud AI Platform or on mobile devices ; - Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection ; - Create autonomous learning agents with Reinforcement Learning, including using the TF-Agents library. Biographie d'Aur?elien G?eron : Aur?elien G?eron is a machine learning consultant and trainer. A former Googler, he led YouTube's video classification team from 2013 to 2016. He was also a founder and CTO of Wifirst (a leading Wireless ISP in France) from 2002 to 2012." Permalink : ./index.php?lvl=notice_display&id=103937

Réservation

Réserver ce document

Exemplaires (1)

Cote	Support	Localisation	Section	Disponibilité
004.8 GER H	Livre	Centre de Documentation HELHa Campus Montignies	Etagères livres	Disponible Disponible

---

1 (1 - 1 / 1)