{"@context":{"owl":"http://www.w3.org/2002/07/owl#","bibo":"http://purl.org/ontology/bibo/","foaf":"http://xmlns.com/foaf/0.1/","rdfs":"http://www.w3.org/2000/01/rdf-schema#","prism":"http://prismstandard.org/namespaces/basic/2.0/","cinii":"http://ci.nii.ac.jp/ns/1.0/","dc":"http://purl.org/dc/elements/1.1/","dcterms":"http://purl.org/dc/terms/"},"@id":"https://ci.nii.ac.jp/ncid/BD06554248.json","@graph":[{"@id":"https://ci.nii.ac.jp/ncid/BD06554248#entity","@type":"bibo:Book","foaf:isPrimaryTopicOf":{"@id":"https://ci.nii.ac.jp/ncid/BD06554248.json"},"dc:title":[{"@value":"Deep learning and scientific computing with R torch"}],"dc:creator":"Sigrid Keydana","dc:publisher":[{"@value":"CRC Press"}],"dcterms:extent":"xix, 393 pages","cinii:size":"24 cm","dc:language":"eng","dc:date":"2023","cinii:ncid":"BD06554248","cinii:ownerCount":"1","foaf:maker":[{"@id":"https://ci.nii.ac.jp/author/DB00532142#entity","@type":"foaf:Person","foaf:name":[{"@value":"Keydana, Sigrid"}]}],"bibo:owner":[{"@id":"https://ci.nii.ac.jp/library/FA001958","@type":"foaf:Organization","foaf:name":"東京海洋大学 附属図書館 越中島分館","rdfs:seeAlso":{"@id":"https://lib.s.kaiyodai.ac.jp/opac/opac_openurl?ncid=BD06554248"}}],"bibo:lccn":["2022049000"],"rdfs:seeAlso":[{"@id":"https://lccn.loc.gov/2022049000"}],"prism:publicationDate":["2023"],"cinii:note":["Includes bibliographical references and index."],"dc:subject":["LCC:Q325.73","DC23:006.3/1"],"cinii:contentOfWorks":["Overview","On torch, and how to get it","Tensors","Autograd","Function minimization with autograd","A neural network from scratch","Modules","Optimizers","Loss functions","Function minimization with L-BFGS","Modularizing the neural network","Loading data","Training with luz","A first go at image classification","Making models generalize","Speeding up training","Image classification, take two: Improving performance","Image segmentation","Tabular data","Time series","Audio classification","Matrix computations : Least-squares problems","Matrix computations : convolution","Exploring the discrete fourier transform (DFT)","The fast fourier transform (FFT)","Wavelets."],"foaf:topic":[{"@id":"https://ci.nii.ac.jp/books/search?q=Deep+learning+%28Machine+learning%29","dc:title":"Deep learning (Machine learning)"},{"@id":"https://ci.nii.ac.jp/books/search?q=Science+--+Mathematics+--+Data+processing","dc:title":"Science -- Mathematics -- Data processing"},{"@id":"https://ci.nii.ac.jp/books/search?q=Python+%28Computer+program+language%29","dc:title":"Python (Computer program language)"},{"@id":"https://ci.nii.ac.jp/books/search?q=R+%28Computer+program+language%29","dc:title":"R (Computer program language)"}],"dcterms:isPartOf":[{"@id":"https://ci.nii.ac.jp/ncid/BB06063161#entity","dc:title":"The R series","@type":"bibo:Book"}],"dcterms:hasPart":[{"@id":"urn:isbn:9781032231396"}]}]}