Deep Learning and Scientific Computing with R torch Taylor & Francis Ltd
Taylor & Francis Ltd
This book aims to be useful to (almost) everyone. Its purposes are threefold. To provide a thorough introduction to torch basics – by explaining underlying concepts and ideas, and showing enough examples for the reader to become fluent in torch. By focusing on conceptual explanation, show how to use torch in deep-learning applications, ranging from image recognition over time series prediction to ...
This book aims to be useful to (almost) everyone. Its purposes are threefold. To provide a thorough introduction to torch basics – by explaining underlying concepts and ideas, and showing enough examples for the reader to become fluent in torch. By focusing on conceptual explanation, show how to use torch in deep-learning applications, ranging from image recognition over time series prediction to audio classification, and 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.
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