Deep learning with TensorFlow and Keras build and deploy supervised,... unsupervised, deep, and reinforcement learning mod.
Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow 2.x focuses on simplici...
| Главный автор: | |
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| Другие авторы: | , , |
| Формат: | Электронная книга |
| Язык: | English |
| Публикация: |
[S.l.]
PACKT PUBLISHING LIMITED,
2022.
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| Редактирование: | Third edition. |
| Серии: | Expert insight.
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| Предметы: | |
| Online-ссылка: | EBSCOhost Перейти в каталог НБ ТГУ |
| LEADER | 02807cam a2200469M 4500 | ||
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| 020 | |a 9781803245713 |q (electronic bk.) | ||
| 020 | |a 1803245719 |q (electronic bk.) | ||
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| 050 | 4 | |a Q325.5 | |
| 082 | 0 | 4 | |a 005.13/3 |2 23/eng/20230109 |
| 049 | |a MAIN | ||
| 100 | 1 | |a Kapoor, Amita, |9 913017 | |
| 245 | 1 | 0 | |a Deep learning with TensorFlow and Keras |h [electronic resource] |b build and deploy supervised,... unsupervised, deep, and reinforcement learning mod. |
| 250 | |a Third edition. | ||
| 260 | |a [S.l.] |b PACKT PUBLISHING LIMITED, |c 2022. |9 911969 | ||
| 300 | |a 1 online resource (698 pages) |b illustrations | ||
| 490 | 1 | |a Expert insight | |
| 520 | |a Deep Learning with TensorFlow and Keras teaches you neural networks and deep learning techniques using TensorFlow (TF) and Keras. You'll learn how to write deep learning applications in the most powerful, popular, and scalable machine learning stack available. TensorFlow 2.x focuses on simplicity and ease of use, with updates like eager execution, intuitive higher-level APIs based on Keras, and flexible model building on any platform. This book uses the latest TF 2.0 features and libraries to present an overview of supervised and unsupervised machine learning models and provides a comprehensive analysis of deep learning and reinforcement learning models using practical examples for the cloud, mobile, and large production environments. This book also shows you how to create neural networks with TensorFlow, runs through popular algorithms (regression, convolutional neural networks (CNNs), transformers, generative adversarial networks (GANs), recurrent neural networks (RNNs), natural language processing (NLP), and graph neural networks (GNNs)), covers working example apps, and then dives into TF in production, TF mobile, and TensorFlow with AutoML. | ||
| 630 | 0 | 0 | |a TensorFlow. |9 913612 |
| 653 | 0 | |a Machine learning. | |
| 653 | 0 | |a Artificial intelligence. | |
| 653 | 0 | |a Neural networks (Computer science) | |
| 653 | 0 | |a Python (Computer program language) | |
| 655 | 0 | |a EBSCO eBooks |9 905790 | |
| 700 | 1 | |a Gulli, Antonio, |9 914302 | |
| 700 | 1 | |a Pal, Sujit |c (Software engineer), |9 914709 | |
| 700 | 1 | |a Chollet, François, |9 914710 | |
| 830 | 0 | |a Expert insight. |9 910992 | |
| 856 | 4 | 0 | |3 EBSCOhost |u https://www.lib.tsu.ru/limit/2023/EBSCO/3402545.pdf |
| 856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=1014883 | ||
| 910 | |a EBSCO eBooks | ||
| 999 | |c 1014883 |d 1014883 | ||
| 039 | |||