Search results

{{Short description|Supervised learning of a similarity function}} ...how [[Similarity (philosophy)|similar]] or related two objects are. It has applications in [[ranking]], in [[recommendation systems]], visual identity tracking, fa ...

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

{{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, ...

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

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

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

{{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 Video matting is a rapidly-evolving field with many practical applications. However, in order to compare the quality of the methods, they must be test ...

...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. ...

Radio maps can be used in a large number of applications, especially in the context of [[Wireless|wireless communications]]. For ins ...umb|Example of a radio map estimate using ''STORM'', a [[Transformer (deep learning architecture)|transformer]]-based radio map estimator.]] ...

{{Infobox Software | genre = [[List of numerical analysis software|Technical computing]] ...

...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 ...

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

.../web.archive.org/web/20171019220157/https://deepmind.com/blog/alphago-zero-learning-scratch/|url-status=dead}}</ref> ...deep reinforcement learning]] models (such as [[Q-learning#Deep Q-learning|Deep Q-Network]] implementations<ref>{{Citation|last=mnj12|title=mnj12/chessDeep ...

[[File:ResBlock.png|thumb|right|A residual block in a deep residual network. Here, the residual connection skips two layers.]] ...ognition]] |arxiv=1512.03385 |doi=10.1109/CVPR.2016.90}}</ref> is a [[deep learning]] architecture in which the layers learn residual functions with reference ...

...P. Baudot, The Poincaré-Shannon Machine: Statistical Physics and Machine Learning Aspects of Information Cohomology , Entropy, 21:9 - 881 (2019)]</ref> which == Applications == ...

{{Short description|A paradigm in machine learning}} ...an aid in solving another set of problems. In the [[Transduction (machine learning)|transductive]] setting, these unsolved problems act as exam questions. In ...

{{Short description|Deep learning facial recognition system}} ...cial features. However, it did not plan to eliminate DeepFace which is the software that powers the facial recognition system. The company has also not ruled o ...

{{Machine learning bar}} A '''Tsetlin machine''' is a form of [[learning automaton]] collective for learning patterns using [[propositional logic]]. [[Ole-Christoffer Granmo]] created< ...

{{Infobox software ...h-YOLO--Schreibtisch-mit-Objekten.jpg|thumb|Objects detected with OpenCV's Deep Neural Network module by using a YOLOv3 model trained on [[COCO (dataset)|C ...