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{{Short description|Open-source machine learning system for end-to-end data science lifecycle}} {{Infobox software ...

{{Infobox software *[[Transformer (deep learning architecture)]] ...

{{Infobox software | programming language = [[Caffe (software)]] ...

{{Short description|Supervised learning of a similarity function}} ...regression (machine learning)|regression]] and [[classification in machine learning|classification]], but the goal is to learn a [[similarity function]] that m ...

{{Short description|Machine learning method}} {{Machine learning bar}} ...

...ann M, Iyyer M, Gardner M, Clark C, Lee K, Zettlemoyer L |date=2018 |title=Deep contextualized word representations |class=cs.CL |eprint=1802.05365 }}</ref ...text (linguistics)|contextual]] understanding of [[Lexical token|tokens]]. Deep contextualized word representation is useful for many natural language proc ...

{{Infobox software ...ref name=":2">{{Cite book |last1=Zhang |first1=Aston |title=Dive into deep learning |last2=Lipton |first2=Zachary |last3=Li |first3=Mu |last4=Smola |first4=Ale ...

{{short description|Method of speech synthesis that uses deep neural networks}} ...(text-to-speech) or spectrum ([[vocoder]]). Deep [[Neural network (machine learning)|neural networks]] are trained using large amounts of recorded speech and, ...

{{Short description|Gradient boosting machine learning library}} {{Infobox software ...

...l Society|date=November 2007|access-date=11 June 2013}}</ref> Open-source software in mathematics has become pivotal in education because of the high cost of A [[computer algebra system]] (CAS) is a software product designed for manipulation of [[mathematical formulae]]. The princip ...

{{Infobox software The need for efficient deep learning models on mobile devices led researchers at [[Google]] to develop MobileNet ...

...Neural Networks as Gaussian Processes |journal=International Conference on Learning Representations |arxiv=1711.00165 |bibcode=2017arXiv171100165L}}</ref><ref ...ehaviour in Wide Deep Neural Networks |journal=International Conference on Learning Representations |arxiv=1804.11271 |bibcode=2018arXiv180411271M}} ...

{{Short description|Machine learning problem}} {{machine learning bar}} ...

{{Infobox software ...023 |access-date=17 September 2022 |publisher=CompVis - Machine Vision and Learning Research Group, LMU Munich}}</ref> ...

...IEEE Conference on Computer Vision and Pattern Recognition (CVPR)|chapter=Deep Image Matting|year=2017|pages=311–320|doi=10.1109/CVPR.2017.41|isbn=978-1-5 | Deep Image Matting <ref name="ChuangAgarwala2002" /> || 2016 || 1 ...

{{Short description|Software design structured around a node graph}} [[File:Shader nodes in blender.png|thumb|Shader nodes in [[Blender (software)|Blender]]]] ...

...a [[computer go]] program developed by [[Meta Platforms]], based on [[deep learning]] techniques using a [[convolutional neural network]]. Its updated version Darkforest is of similar strength to programs like [[Crazy Stone (software)|CrazyStone]] and Zen.<ref>{{Cite web | url=http://livestream.com/oxuni/Str ...

...ace, and building strategy.<ref name="ufo"/> Further methods such as Exact Learning attempt to transform the fitting problem into a [[Method of moments (statis ...rst1=Marco |last2=Pissis |first2=Solon P. |journal=Transactions on Machine Learning Research |date=2022 |title=Symbolic Regression is NP-hard |url=https://open ...

...e [[word vector space]]. As log-bilinear regression model for unsupervised learning of word representations, it combines the features of two model families, na ...https://ieeexplore.ieee.org/document/9785808 |journal=IEEE Transactions on Software Engineering |volume=49 |issue=4 |pages=1487–1507 |arxiv=2109.04738 |doi=10. ...

...umb|Example of a radio map estimate using ''STORM'', a [[Transformer (deep learning architecture)|transformer]]-based radio map estimator.]] ...oach to construct a radio map is via [[Ray tracing (physics)|ray-tracing]] software. These programs use a 3D model of the region of interest to predict how the ...