"Deep Learning And Scientific Computing With R Torch | Statistics

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.|Deep Learning and Scientific Computing with R torch | Statistics