随笔分类 - (e) AI
摘要：Data Science YOLO V5 is Here! Custom Object Detection Tutorial with YOLO V5 June 15, 2020 Author(s): Mihir Rajput Data Science Source: https://pjreddi
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摘要：Tinn (Tiny Neural Network) is a 200 line dependency free neural network library written in C99. For a demo on how to learn hand written digits, get so
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摘要：Note Click here to download the full example code or to run this example in your browser via Binder Decision Tree Regression with AdaBoost A decision
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摘要：翻译 https://github.com/apachecn/sklearn-doc-zh 示例 https://scikit-learn.org/stable/
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摘要：Note Click here to download the full example code or to run this example in your browser via Binder Plot different SVM classifiers in the iris dataset
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摘要：1. Microsoft NNI NNI (Neural Network Intelligence)是一个轻量但强大的工具包，帮助用户自动的进行特征工程，神经网络架构搜索，超参调优以及模型压缩 https://github.com/microsoft/nni/blob/master/README_z
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摘要：http://vision.stanford.edu/teaching/cs231n-demos/linear-classify/
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摘要：http://vision.stanford.edu/teaching/cs231n-demos/knn/ https://pythonbasics.org/k-nearest-neighbors/ http://www.cs.cmu.edu/~zhuxj/courseproject/knndemo
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摘要：February 6, 2020 By Eran Kahana Using quantum computing to train neural networks promises to speed up training time. Doing so in autonomous vehicle ap
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摘要：http://cs229.stanford.edu/proj2016/poster/Xu-FingerprintIdentificationUsingSVM-poster.pdf
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摘要：Computer Vision, From 3D Reconstruction to Recognition http://cs231n.stanford.edu/ CS231A: Computer Vision, From 3D Reconstruction to Recognition http
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摘要：http://cs229.stanford.edu/proj2007/ http://cs229.stanford.edu/proj2008/ ... ... ... http://cs229.stanford.edu/proj2016/ http://cs229.stanford.edu/proj
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摘要：Support Vector Machines explained well By Iddo on February 5th, 2014 Found this on Reddit r/machinelearning (In related news, there’s a machine learni
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摘要：Real-Time Object Recognition Using a Webcam and Deep Learning In this tutorial, we will develop a program that can recognize objects in a real-time vi
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摘要：This section contains official tutorials inside XGBoost package. See Awesome XGBoost for more resources. Contents: Introduction to Boosted Trees Intro
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摘要：Home SVM Software Top 3 LIBSVM SVMlight SVMTorch Google Directory RankGoogle PageRankBackward LinksWebScholarSoftwareAuthorDetailsCitation 2 (6/10) ab
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摘要：Home Support Vector Machines SVM Reviews SVM Books SVM Software Pattern Recognition Optimum Hyperplane SVM Regression ν-SVM SVM Statistics Machine Lea
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摘要：LIBSVM -- A Library for Support Vector Machines https://www.csie.ntu.edu.tw/~cjlin/libsvm/ piaip's Using (lib)SVM Tutorial piaip 的 (lib)SVM 簡易入門 https
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摘要：LIBLINEAR -- A Library for Large Linear Classification https://www.csie.ntu.edu.tw/~cjlin/liblinear/
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摘要：Overview 康奈尔大学Thorsten Joachims教授的主页 http://svmlight.joachims.org/ tutorial www.kernel-machines.org/papers/Burges98.ps.gz How to use svm_learn example
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