Description: Deep Learning With R, Hardcover by Ghatak, Abhijit, ISBN 9811358494, ISBN-13 9789811358494, Brand New, Free shipping in the US
Deep Learning with R introduces deep learning and neural networks using the R programming language. Th 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.
Th 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. Th makes extensive use of the Keras and TensorFlow frameworks.
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Book Title: Deep Learning With R
Number of Pages: Xxiii, 245 Pages
Language: English
Publication Name: Deep Learning with R
Publisher: Springer
Publication Year: 2019
Subject: Intelligence (Ai) & Semantics, Computer Science, Applied
Item Weight: 20.3 Oz
Type: Textbook
Author: Abhijit Ghatak
Subject Area: Mathematics, Computers
Item Length: 9.3 in
Item Width: 6.1 in
Format: Hardcover
