Deep Learning with R
Deep Learning with R provides a comprehensive introduction to building and training deep neural networks using the Keras library in R. It covers core concepts, architectures, and practical workflows for developing intelligent systems. Ideal for data scientists and developers seeking to apply deep learning techniques effectively in R environments.
About This Book
Deep Learning with R introduces the fundamentals of deep learning through the Keras and R interfaces, enabling readers to create powerful machine learning models.
The book covers essential concepts such as neural networks, convolutional layers, and recurrent networks, all implemented in R.
Practical examples guide users from basic setups to complex applications, making deep learning accessible for R programmers.
Authored by Francois Chollet, it emphasizes hands-on coding and real-world problem-solving in machine learning.
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