[ FreeCourseWeb.com ] Hands-On Deep Learning with R: A practical guide to designing, building, and improving neural network models using R
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English | 30 Apr 2020 | ISBN:978-1788996839 | 330 Pages | True (PDF, EPUB, MOBI) + Code | 59.53 MB
Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet
Key Features
Understand deep learning algorithms and architectures using R and determine which algorithm is best suited for a specific problem
Improve models using parameter tuning, feature engineering, and ensembling
Apply advanced neural network models such as deep autoencoders and generative adversarial networks (GANs) across different domains
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