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Yangqing Jia created the Caffe project during his PhD at UC Berkeley, while working the lab of Trevor
Darrell. The first version, called "DeCAF", made its first appearance in spring 2013 when it was used for the
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December 2013. It reached end-of-support in 2018. It is hosted on
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Caffe is being used in academic research projects, startup prototypes, and even large-scale industrial applications in vision, speech, and multimedia.
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and fully-connected neural network designs. Caffe supports GPU- and CPU-based acceleration computational kernel libraries such as
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Caffe supports many different types of deep learning architectures geared towards
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to create CaffeOnSpark, a distributed deep learning framework.
1458:"Yahoo enters artificial intelligence race with CaffeOnSpark"
1125:(Convolutional Architecture for Fast Feature Embedding) is a
1416:"Deep Learning for Computer Vision with Caffe and cuDNN"
1230:(RNN). At the end of March 2018, Caffe2 was merged into
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List of datasets in computer vision and image processing
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announced Caffe2, which included new features such as
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Information technology companies of the United States
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1244:Comparison of deep learning software
1366:. Embedded Vision. 17 January 2016.
1129:framework, originally developed at
1065:Glossary of artificial intelligence
51:Berkeley Vision and Learning Center
1131:University of California, Berkeley
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1729:
1471:Team, Caffe2 (April 18, 2017).
1210:has also integrated Caffe with
1781:Software using the BSD license
485:Relevance vector machine (RVM)
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974:Computational learning theory
538:Expectation–maximization (EM)
1505:"Caffe2 Merges With PyTorch"
931:Coefficient of determination
778:Convolutional neural network
490:Support vector machine (SVM)
1630:Microsoft Cognitive Toolkit
1082:Outline of machine learning
979:Empirical risk minimization
66:1.0 / 18 April 2017
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719:Feedforward neural network
470:Artificial neural networks
1766:Free statistical software
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1300:"caffe/LICENSE at master"
702:Artificial neural network
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1380:. GitHub. 31 March 2020.
1228:recurrent neural network
1011:Journals and conferences
958:Mathematical foundations
868:Temporal difference (TD)
724:Recurrent neural network
644:Conditional random field
567:Dimensionality reduction
315:Dimensionality reduction
277:Quantum machine learning
272:Neuromorphic engineering
232:Self-supervised learning
227:Semi-supervised learning
420:Apprenticeship learning
27:Deep learning framework
1756:Deep learning software
1566:Deep learning software
969:Bias–variance tradeoff
851:Reinforcement learning
827:Spiking neural network
237:Reinforcement learning
1761:Free science software
1718:Deep Learning Toolbox
1420:NVIDIA Developer Blog
805:Neural radiance field
627:Structured prediction
350:Structured prediction
222:Unsupervised learning
68:; 7 years ago
1460:. February 29, 2016.
1176:image classification
994:Statistical learning
892:Learning with humans
684:Local outlier factor
1711:Wolfram Mathematica
1434:"mkl_alternate.hpp"
1422:. October 16, 2014.
1141:. It is written in
837:Electrochemical RAM
744:reservoir computing
475:Logistic regression
394:Supervised learning
380:Multimodal learning
355:Feature engineering
300:Generative modeling
262:Rule-based learning
257:Curriculum learning
217:Supervised learning
192:Part of a series on
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1180:image segmentation
405: •
320:Density estimation
37:Original author(s)
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1404:on April 5, 2017.
1282:"Microsoft/caffe"
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925:Model diagnostics
908:Human-in-the-loop
751:Boltzmann machine
664:Anomaly detection
460:Linear regression
375:Ontology learning
370:Grammar induction
345:Semantic analysis
340:Association rules
325:Anomaly detection
267:Neuro-symbolic AI
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1338:. Archived from
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1270:. 31 March 2020.
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936:Confusion matrix
689:Isolation forest
634:Graphical models
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1706:Neural Designer
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1441:. Retrieved
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1399:the original
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1340:the original
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1318:"BVLC/caffe"
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1264:"BVLC/caffe"
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989:PAC learning
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525:
520:Hierarchical
452:
406:
400:
152:Library for
47:Developer(s)
41:Yangqing Jia
1685:Proprietary
1587:Open source
1149:interface.
1139:BSD license
1135:open source
873:Multi-agent
810:Transformer
709:Autoencoder
465:Naive Bayes
203:data mining
1750:Categories
1701:IBM Watson
1650:TensorFlow
1577:Comparison
1443:2018-04-11
1438:BVLC Caffe
1346:2017-03-29
1250:References
1194:cuDNN and
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1017:ECML PKDD
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639:Bayes net
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211:Paradigms
1735:Category
1670:OpenVINO
1485:cite web
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1133:. It is
440:Boosting
289:Problems
1696:Core ML
1645:PyTorch
1232:PyTorch
1153:History
1022:NeurIPS
839:(ECRAM)
793:AlexNet
435:Bagging
172:Website
161:License
141:Windows
71: (
1716:MATLAB
1655:Theano
1640:OpenNN
1635:ML.NET
1509:Medium
1477:Caffe2
1322:GitHub
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1268:GitHub
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1208:Yahoo!
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1164:GitHub
1160:ILSVRC
1147:Python
815:Vision
671:RANSAC
549:OPTICS
544:DBSCAN
528:-means
335:AutoML
102:/caffe
96:github
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1402:(PDF)
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783:U-Net
609:t-SNE
533:Fuzzy
510:BIRCH
177:caffe
137:macOS
133:Linux
100:/BVLC
31:Caffe
1665:ONNX
1620:Dlib
1491:link
1188:LSTM
1178:and
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1032:ICLR
1027:ICML
913:RLHF
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589:LDA
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579:CCA
455:-NN
166:BSD
121:C++
1752::
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677:k
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