Cargando…
Deep learning with R for beginners: design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
This Learning Path is your step-by-step guide to building deep learning models using R's wide range of deep learning libraries and frameworks. Through multiple real-world projects and expert guidance and tips, you'll gain the exact knowledge you need to get started with developing deep mod...
Autores principales: | Hodnett, Mark, Wiley, Joshua F, Liu, Yuxi (Hayden), Maldonado, Pablo |
---|---|
Lenguaje: | eng |
Publicado: |
Packt Publishing
2019
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2685750 |
Ejemplares similares
-
R deep learning essentials: a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet
por: Hodnett, Mark, et al.
Publicado: (2018) -
Tutorial: Keras/TensorFlow
por: Wunsch, Stefan
Publicado: (2018) -
The Applied TensorFlow and Keras Workshop
por: Chadha, Harveen
Publicado: (2020) -
Deep learning with Keras: implement neural networks with Keras on Theano and TensorFlow
por: Gulli, Antonio
Publicado: (2017) -
Deep Learning with TensorFlow 2 and Keras
por: Gulli, Antonio, et al.
Publicado: (2019)