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Office Open XML (OOXML) format was introduced with Microsoft Office 2007 and became the default format of Microsoft Word ever since. Pertaining file extensions include:.docx – Word document.docm – Word macro-enabled document; same as docx, but may contain macros and scripts.dotx – Word template.dotm – Word macro-enabled template; same ...
For example, the word processing application Microsoft Word uses different file extensions for documents and templates: In Word 2003 the file extension .dot is used to indicate a template, in contrast to .doc for a standard document. In Word 2007 and later versions, it's .dotx, instead of .docx for documents. The OpenDocument Format also has ...
Template: Office document file formats. ... Upload file; Special pages; Permanent link; Page information; Get shortened URL; Download QR code; Print/export Download ...
Long short-term memory (LSTM) [1] is a type of recurrent neural network (RNN) aimed at mitigating the vanishing gradient problem [2] commonly encountered by traditional RNNs. Its relative insensitivity to gap length is its advantage over other RNNs, hidden Markov models , and other sequence learning methods.
DOT – Microsoft Word document template; DOTX – Office Open XML text document template; DWD – DavkaWriter Heb/Eng word processor file; EGT – EGT Universal Document; EPUB – EPUB open standard for e-books; EVTX – Windows XML EventLog files are system log files used by the Windows operating system [9] EZW – Reagency Systems easyOFFER ...
Microsoft Office Word 2003 XML Format — WordProcessingML or WordML (.XML) Microsoft Office Excel 2002 and Excel 2003 XML Format — SpreadsheetML (.XML) Microsoft Office Visio 2003 XML Format — DataDiagramingML (.VDX, .VSX, .VTX) Microsoft Office InfoPath 2003 XML Format — XML FormTemplate (.XSN) (Compressed XML templates in a Cabinet file)
At a glance: HELoan vs. HELOC vs. cash-out refinance. Home equity loan. Home equity line of credit. Cash-out refinance. Loan proceeds. Lump sum payment
Hochreiter has made contributions in the fields of machine learning, deep learning and bioinformatics, most notably the development of the long short-term memory (LSTM) neural network architecture, [3] [4] but also in meta-learning, [5] reinforcement learning [6] [7] and biclustering with application to bioinformatics data.
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