Dettaglio del documento
-
Il permalink è stato copiato, puoi utilizzarlo immediatamente.
E’ sufficiente premere i tasti “Ctrl+v” per posizionarlo dove preferite. - Stampa titolo
Deep learning with R
Abstract
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.Deep Learning with R, Second Edition is a hands-on guide to deep learning using the R language. As you move through this book, you’ll quickly lock in the foundational ideas of deep learning. The intuitive explanations, crisp illustrations, and clear examples guide you through core DL skills like image processing and text manipulation, and even advanced features like transformers. This revised and expanded new edition is adapted from Deep Learning with Python, Second Edition by François Chollet, the creator of the Keras library.
What's inside
- Image classification and image segmentation
- Time series forecasting
- Text classification and machine translation
- Text generation, neural style transfer, and image generation
For readers with intermediate R skills. No previous experience with Keras, TensorFlow, or deep learning is required. (Fonte: editore)