Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFl
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Master machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other lang
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Summary Deep Learning with R introduces the world of deep learning using the powerful Keras library and its R language
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Deep Learning with R introduces deep learning and neural networks using the R programming language. The book builds on t
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Develop Bayesian Deep Learning models to help make your own applications more robust. Key Features Learn how advanced c
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Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and
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