Deep Learning with R, Second Edition (2nd Ed.)
Langue : Anglais
Auteurs : Chollet François, Kalinowski Tomasz, Allaire Joseph
Deep learning from the ground up using R and the powerful Keras library!
In Deep Learning with R, Second Edition you will learn:
In Deep Learning with R, Second Edition you will learn:
- Deep learning from first principles
- Image classification and image segmentation
- Time series forecasting
- Text classification and machine translation
- Text generation, neural style transfer, and image generation
about the technology
Deep learning has become essential knowledge for data scientists, researchers, and software developers. The R language APIs for Keras and TensorFlow put deep learning within reach for all R users, even if they have no experience with advanced machine learning or neural networks. This book shows you how to get started on core DL tasks like computer vision, natural language processing, and more using R.what's inside
- Image classification and image segmentation
- Time series forecasting
- Text classification and machine translation
- Text generation, neural style transfer, and image generation
about the reader
For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required.François Chollet is a software engineer at Google and creator of Keras. Tomasz Kalinowski
Date de parution : 08-2022
Ouvrage de 568 p.
18.6x23.4 cm
Thèmes de Deep Learning with R, Second Edition :
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