Vendeur : Bay State Book Company, North Smithfield, RI, Etats-Unis
EUR 8,76
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Ajouter au panierEtat : acceptable. The book is complete and readable, with all pages and cover intact. Dust jacket, shrink wrap, or boxed set case may be missing. Pages may have light notes, highlighting, or minor water exposure, but nothing that affects readability. May be an ex-library copy and could include library markings or stickers.
Edité par Packt Publishing
Vendeur : Academic Book Solutions, Medford, NY, Etats-Unis
EUR 5,29
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Ajouter au panierPaperback. Etat : VeryGood. A copy that may have been read, very minimal wear and tear. May have a remainder mark.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 34,11
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EUR 35,54
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 34,37
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Vendeur : Best Price, Torrance, CA, Etats-Unis
EUR 30,53
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 38,53
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Vendeur : California Books, Miami, FL, Etats-Unis
EUR 38,53
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Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 39,27
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 38,26
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Ajouter au panierEtat : New. In.
Edité par Packt Publishing 2020-07-29, 2020
ISBN 10 : 1800562969 ISBN 13 : 9781800562967
Langue: anglais
Vendeur : Chiron Media, Wallingford, Royaume-Uni
EUR 34,99
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Ajouter au panierPaperback. Etat : New.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 39,46
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Ajouter au panierEtat : New. In.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 37,95
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Edité par Packt Publishing Limited, GB, 2020
ISBN 10 : 1800562969 ISBN 13 : 9781800562967
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 56,42
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Ajouter au panierPaperback. Etat : New. Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning modelsKey FeaturesGet to grips with various model evaluation metrics, including sensitivity, specificity, and AUC scoresExplore advanced concepts such as sequential memory and sequential modelingReinforce your skills with real-world development, screencasts, and knowledge checksBook DescriptionNew experiences can be intimidating, but not this one! This beginner's guide to deep learning is here to help you explore deep learning from scratch with Keras, and be on your way to training your first ever neural networks.What sets Keras apart from other deep learning frameworks is its simplicity. With over two hundred thousand users, Keras has a stronger adoption in industry and the research community than any other deep learning framework.The Deep Learning with Keras Workshop starts by introducing you to the fundamental concepts of machine learning using the scikit-learn package. After learning how to perform the linear transformations that are necessary for building neural networks, you'll build your first neural network with the Keras library. As you advance, you'll learn how to build multi-layer neural networks and recognize when your model is underfitting or overfitting to the training data. With the help of practical exercises, you'll learn to use cross-validation techniques to evaluate your models and then choose the optimal hyperparameters to fine-tune their performance. Finally, you'll explore recurrent neural networks and learn how to train them to predict values in sequential data.By the end of this book, you'll have developed the skills you need to confidently train your own neural network models.What you will learnGain insights into the fundamentals of neural networksUnderstand the limitations of machine learning and how it differs from deep learningBuild image classifiers with convolutional neural networksEvaluate, tweak, and improve your models with techniques such as cross-validationCreate prediction models to detect data patterns and make predictionsImprove model accuracy with L1, L2, and dropout regularizationWho this book is forIf you know the basics of data science and machine learning and want to get started with advanced machine learning technologies like artificial neural networks and deep learning, then this is the book for you. To grasp the concepts explained in this deep learning book more effectively, prior experience in Python programming and some familiarity with statistics and logistic regression are a must.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 40,35
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Edité par Packt Publishing - ebooks Account, 2020
ISBN 10 : 1800562969 ISBN 13 : 9781800562967
Langue: anglais
Vendeur : Revaluation Books, Exeter, Royaume-Uni
EUR 43,01
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Ajouter au panierPaperback. Etat : Brand New. 496 pages. 9.25x7.52x1.03 inches. In Stock.
EUR 42,04
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Ajouter au panierKartoniert / Broschiert. Etat : New. Über den AutorrnrnMatthew Moocarme is a director and senior data scientist in Viacom s advertising science team. As a data scientist at Viacom, he designs data-driven solutions to help Viacom gain insights, streamline workflows, and solve c.
EUR 44,74
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Ajouter au panierEtat : New. Applied Deep Learning with Keras takes you from a basic knowledge of machine learning and Python to an expert understanding of applying Keras to develop efficient deep learning solutions. This book teaches you new techniques to handle neural networks, and i.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 69,08
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Ajouter au panierPaperback. Etat : New. New. book.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 73,84
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Ajouter au panierPaperback. Etat : New. New. book.
Edité par Packt Publishing Limited, GB, 2020
ISBN 10 : 1800562969 ISBN 13 : 9781800562967
Langue: anglais
Vendeur : Rarewaves.com UK, London, Royaume-Uni
EUR 52,09
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierPaperback. Etat : New. Discover how to leverage Keras, the powerful and easy-to-use open source Python library for developing and evaluating deep learning modelsKey FeaturesGet to grips with various model evaluation metrics, including sensitivity, specificity, and AUC scoresExplore advanced concepts such as sequential memory and sequential modelingReinforce your skills with real-world development, screencasts, and knowledge checksBook DescriptionNew experiences can be intimidating, but not this one! This beginner's guide to deep learning is here to help you explore deep learning from scratch with Keras, and be on your way to training your first ever neural networks.What sets Keras apart from other deep learning frameworks is its simplicity. With over two hundred thousand users, Keras has a stronger adoption in industry and the research community than any other deep learning framework.The Deep Learning with Keras Workshop starts by introducing you to the fundamental concepts of machine learning using the scikit-learn package. After learning how to perform the linear transformations that are necessary for building neural networks, you'll build your first neural network with the Keras library. As you advance, you'll learn how to build multi-layer neural networks and recognize when your model is underfitting or overfitting to the training data. With the help of practical exercises, you'll learn to use cross-validation techniques to evaluate your models and then choose the optimal hyperparameters to fine-tune their performance. Finally, you'll explore recurrent neural networks and learn how to train them to predict values in sequential data.By the end of this book, you'll have developed the skills you need to confidently train your own neural network models.What you will learnGain insights into the fundamentals of neural networksUnderstand the limitations of machine learning and how it differs from deep learningBuild image classifiers with convolutional neural networksEvaluate, tweak, and improve your models with techniques such as cross-validationCreate prediction models to detect data patterns and make predictionsImprove model accuracy with L1, L2, and dropout regularizationWho this book is forIf you know the basics of data science and machine learning and want to get started with advanced machine learning technologies like artificial neural networks and deep learning, then this is the book for you. To grasp the concepts explained in this deep learning book more effectively, prior experience in Python programming and some familiarity with statistics and logistic regression are a must.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 36,89
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand pp. 496.