Edité par Packt Publishing (edition ), 2016
ISBN 10 : 1784390844 ISBN 13 : 9781784390846
Langue: anglais
Vendeur : BooksRun, Philadelphia, PA, Etats-Unis
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EUR 7,88
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Ajouter au panierPaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
EUR 8,08
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Ajouter au panierpaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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EUR 33,85
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Ajouter au panierEtat : New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Vendeur : Zoom Books Company, Lynden, WA, Etats-Unis
EUR 33,97
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EUR 34,47
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Ajouter au panierEtat : Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Ajouter au panierpaperback. Etat : Good. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Vendeur : ALLBOOKS1, Direk, SA, Australie
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Vendeur : Textbooks_Source, Columbia, MO, Etats-Unis
EUR 38,46
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Ajouter au panierpaperback. Etat : New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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Vendeur : Best Price, Torrance, CA, Etats-Unis
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Vendeur : BargainBookStores, Grand Rapids, MI, Etats-Unis
EUR 46,92
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Ajouter au panierEtat : New. Hands-On Transfer Learning with Python (Paperback or Softback) 1.65.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 47,18
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 46,90
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
EUR 46,90
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EUR 48,16
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Best Price, Torrance, CA, Etats-Unis
EUR 42,76
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Vendeur : California Books, Miami, FL, Etats-Unis
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EUR 51,95
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Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 49,10
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Ajouter au panierEtat : New. In English.
Edité par Packt Publishing Limited, GB, 2018
ISBN 10 : 1788831306 ISBN 13 : 9781788831307
Langue: anglais
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 66,20
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Ajouter au panierPaperback. Etat : New. Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystemKey FeaturesBuild deep learning models with transfer learning principles in Pythonimplement transfer learning to solve real-world research problemsPerform complex operations such as image captioning neural style transferBook DescriptionTransfer learning is a machine learning (ML) technique where knowledge gained during training a set of problems can be used to solve other similar problems. The purpose of this book is two-fold; firstly, we focus on detailed coverage of deep learning (DL) and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is real-world examples and research problems using TensorFlow, Keras, and the Python ecosystem with hands-on examples. The book starts with the key essential concepts of ML and DL, followed by depiction and coverage of important DL architectures such as convolutional neural networks (CNNs), deep neural networks (DNNs), recurrent neural networks (RNNs), long short-term memory (LSTM), and capsule networks. Our focus then shifts to transfer learning concepts, such as model freezing, fine-tuning, pre-trained models including VGG, inception, ResNet, and how these systems perform better than DL models with practical examples. In the concluding chapters, we will focus on a multitude of real-world case studies and problems associated with areas such as computer vision, audio analysis and natural language processing (NLP).By the end of this book, you will be able to implement both DL and transfer learning principles in your own systems.What you will learnSet up your own DL environment with graphics processing unit (GPU) and Cloud support Delve into transfer learning principles with ML and DL modelsExplore various DL architectures, including CNN, LSTM, and capsule networks Learn about data and network representation and loss functionsGet to grips with models and strategies in transfer learning Walk through potential challenges in building complex transfer learning models from scratch Explore real-world research problems related to computer vision and audio analysis Understand how transfer learning can be leveraged in NLPWho this book is forHands-On Transfer Learning with Python is for data scientists, machine learning engineers, analysts and developers with an interest in data and applying state-of-the-art transfer learning methodologies to solve tough real-world problems. Basic proficiency in machine learning and Python is required.
EUR 48,61
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 54,03
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Ajouter au panierEtat : New. In.