R deep learning projects : master the techniques to design and develop neural network models in R /
5 real-world projects to help you master deep learning concepts About This Book Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more Get to grips with R's impressive range of Deep Learning libraries...
Clasificación: | Libro Electrónico |
---|---|
Autores principales: | Liu, Yuxi (Autor), Maldonado, Pablo (Autor) |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Birmingham, UK :
Packt Publishing,
2018.
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Ejemplares similares
-
R machine learning by example : understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully /
por: Bali, Raghav, et al.
Publicado: (2016) -
Applied unsupervised learning with R /
por: Malik, Alok, et al.
Publicado: (2019) -
Deep Learning with R for Beginners : Design Neural Network Models in R 3. 5 Using TensorFlow, Keras, and MXNet.
por: Hodnett, Mark
Publicado: (2019) -
Machine learning using R : with time series and industry-based uses in R /
por: Ramasubramanian, Karthik, et al.
Publicado: (2019) -
Machine learning using R : with time series and industry-based uses in R /
por: Ramasubramanian, Karthik, et al.
Publicado: (2019)