Articles liés à Keras: Your simple guide
Synopsis
This book is an exploration of Keras, a deep learning library developed in Python. The author begins by helping you understand more details about the keras library to help you understand where and how you can use it. The various Keras layers have been discussed; hence you will know what you can use them for. Keras comes with various optimizers that you can use to optimize your deep learning models. These have been discussed in detail. The cost functions provided by the library have also been explored in detail. The various metrics used to measure the performance of models developed in Keras have been discussed. Keras can be used for performing basic classification tasks. You will learn this in details. It is also a good library for image classification tasks. The author has explored this. Text classification is a common task today in data processing. The author helps you know how to perform this task with the Keras library. Advanced Keras features such as checkpoints and callbacks have also been discussed.
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Keras: Your Simple Guide
Edité par
Independently Published, 2019
ISBN 10 : 1091692475
ISBN 13 : 9781091692473
Neuf
Paperback / softback
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Keras: Your Simple Guide
Edité par
INDEPENDENTLY PUBLISHED, 2019
ISBN 10 : 1091692475
ISBN 13 : 9781091692473
Neuf
Couverture souple
Vendeur : moluna, Greven, Allemagne
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Etat : New. KlappentextThis book is an exploration of Keras, a deep learning library developed in Python. The author begins by helping you understand more details about the keras library to help you understand where and how you can use it. The va. N° de réf. du vendeur 899954345
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Smart, M: Keras
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Amazon Digital Services LLC - Kdp
ISBN 10 : 1091692475
ISBN 13 : 9781091692473
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. Neuware - This book is an exploration of Keras, a deep learning library developed in Python. The author begins by helping you understand more details about the keras library to help you understand where and how you can use it. The various Keras layers have been discussed; hence you will know what you can use them for. Keras comes with various optimizers that you can use to optimize your deep learning models. These have been discussed in detail. The cost functions provided by the library have also been explored in detail. The various metrics used to measure the performance of models developed in Keras have been discussed. Keras can be used for performing basic classification tasks. You will learn this in details. It is also a good library for image classification tasks. The author has explored this. Text classification is a common task today in data processing. The author helps you know how to perform this task with the Keras library. Advanced Keras features such as checkpoints and callbacks have also been discussed. N° de réf. du vendeur 9781091692473
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Keras (Paperback)
Vendeur : AussieBookSeller, Truganina, VIC, Australie
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Paperback. Etat : new. Paperback. This book is an exploration of Keras, a deep learning library developed in Python. The author begins by helping you understand more details about the keras library to help you understand where and how you can use it. The various Keras layers have been discussed; hence you will know what you can use them for. Keras comes with various optimizers that you can use to optimize your deep learning models. These have been discussed in detail. The cost functions provided by the library have also been explored in detail. The various metrics used to measure the performance of models developed in Keras have been discussed. Keras can be used for performing basic classification tasks. You will learn this in details. It is also a good library for image classification tasks. The author has explored this. Text classification is a common task today in data processing. The author helps you know how to perform this task with the Keras library. Advanced Keras features such as checkpoints and callbacks have also been discussed. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781091692473
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