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Hands-on machine learning with Scikit-Learn and TensorFlow : Concepts, tools, and techniques to build intelligent systems

By: Géron, Aurélien.
Material type: materialTypeLabelBookPublisher: Sebastopol: O'Reilly Media, 2017Description: xx, 551 p.: ill.; 24 cm.ISBN: 9789352135219.Subject(s): Artificial intelligenceDDC classification: 006.31
Contents:
Part I. The fundamentals of machine learning The machine learning landscape End-to-end machine learning project Classification Training models Part II. Neural networks and deep learning Up and running with Tensor Flow Introduction to artificial neural networks Training deep neural nets Distributing Tensor Flow across devices and servers Recurrent neural networks Autoencoders Reinforcement learning
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Non-fiction 006.31 GER (Browse shelf) Checked out 19/05/2021 37599

Part I. The fundamentals of machine learning The machine learning landscape End-to-end machine learning project Classification Training models Part II. Neural networks and deep learning Up and running with Tensor Flow Introduction to artificial neural networks Training deep neural nets Distributing Tensor Flow across devices and servers Recurrent neural networks Autoencoders Reinforcement learning

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