Keydana Sigrid
Keydana Sigrid - Deep Learning And Scientific Computing With R Torch - Paperback
Keydana Sigrid - Deep Learning And Scientific Computing With R Torch - Paperback
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Description: torch is an R port of Py Torch one of the two most - employed deep learning frameworks in industry and research. It is also an excellent tool to use in scientific computations. It is written entirely in R and C/ C++. Though still "young" as a project R torch already has a vibrant community of users and developers. Experience shows that torch users come from a broad range of different backgrounds. This book aims to be useful to (almost) everyone. Globally speaking its purposes are threefold: Provide a thorough introduction to torch basics both by carefully explaining underlying concepts and ideas and showing enough examples for the reader to become "fluent" in torch Again with a focus on conceptual explanation show how to use torch in deep - learning applications ranging from image recognition over time series prediction to audio classification Provide a concepts - first reader - friendly introduction to selected scientific - computation topics (namely matrix computations the Discrete Fourier Transform and wavelets) all accompanied by torch code you can play with. Deep Learning and Scientific Computing with R torch is written with first - hand technical expertise and in an engaging fun - to - read way.
Title: Deep Learning And Scientific Computing With R Torch
Author(s): Keydana Sigrid
Publisher: Taylor & Francis Ltd
Barcode: 9781032231396
Pages: 394 Pages, 6 Tables, Black And White; 59 Line Drawings, Black And White; 32 Halftones, Black And Whi
Publication Date: 4/5/2023
Series: Chapman & Hall/CRC The R Series
Category: Artificial Intelligence
Description: torch is an R port of Py Torch one of the two most - employed deep learning frameworks in industry and research. It is also an excellent tool to use in scientific computations. It is written entirely in R and C/ C++. Though still "young" as a project R torch already has a vibrant community of users and developers. Experience shows that torch users come from a broad range of different backgrounds. This book aims to be useful to (almost) everyone. Globally speaking its purposes are threefold: Provide a thorough introduction to torch basics both by carefully explaining underlying concepts and ideas and showing enough examples for the reader to become "fluent" in torch Again with a focus on conceptual explanation show how to use torch in deep - learning applications ranging from image recognition over time series prediction to audio classification Provide a concepts - first reader - friendly introduction to selected scientific - computation topics (namely matrix computations the Discrete Fourier Transform and wavelets) all accompanied by torch code you can play with. Deep Learning and Scientific Computing with R torch is written with first - hand technical expertise and in an engaging fun - to - read way.
Title: Deep Learning And Scientific Computing With R Torch
Author(s): Keydana Sigrid
Publisher: Taylor & Francis Ltd
Barcode: 9781032231396
Pages: 394 Pages, 6 Tables, Black And White; 59 Line Drawings, Black And White; 32 Halftones, Black And Whi
Publication Date: 4/5/2023
Series: Chapman & Hall/CRC The R Series
Category: Artificial Intelligence
