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Deep Learning with R (Hardcover, 1st ed. 2019)
Loot Price: R2,572
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Deep Learning with R (Hardcover, 1st ed. 2019)
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Deep Learning with R introduces deep learning and neural networks
using the R programming language. The book builds on the
understanding of the theoretical and mathematical constructs and
enables the reader to create applications on computer vision,
natural language processing and transfer learning. The book starts
with an introduction to machine learning and moves on to describe
the basic architecture, different activation functions, forward
propagation, cross-entropy loss and backward propagation of a
simple neural network. It goes on to create different code segments
to construct deep neural networks. It discusses in detail the
initialization of network parameters, optimization techniques, and
some of the common issues surrounding neural networks such as
dealing with NaNs and the vanishing/exploding gradient problem.
Advanced variants of multilayered perceptrons namely, convolutional
neural networks and sequence models are explained, followed by
application to different use cases. The book makes extensive use of
the Keras and TensorFlow frameworks.
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