matlab的egde源代码-DeepVisualization:通过交替的图像模糊和去模糊可视化深度神经网络

上传者: 38734037 | 上传时间: 2022-05-23 01:55:46 | 文件大小: 22.32MB | 文件类型: ZIP
matlab的egde源代码深度可视化 一些使用Caffe和Matlab的有趣的可视化演示。 FaceVis 可视化由人脸识别模型存储的人脸。 FilterVis 可视化CNN模型学习的中级功能。 启蒙主义 可视化CNN模型中的分类器神经元。 神经网络复杂度 展示神经网络可以实现的复杂程度,宽度,深度和结构。 神经艺术 纸张的另一种重新实现 《艺术风格的神经算法》,作者:莱昂·盖蒂斯(Leon Gatys),亚历山大·埃克(Alexander Ecker)和马蒂亚斯·贝特(Matthias Bethge)。 PrototxtGen 一些模块用于为Caffe生成原型。

文件下载

资源详情

[{"title":"( 80 个子文件 22.32MB ) matlab的egde源代码-DeepVisualization:通过交替的图像模糊和去模糊可视化深度神经网络","children":[{"title":"DeepVisualization-master","children":[{"title":".gitignore <span style='color:#111;'> 66B </span>","children":null,"spread":false},{"title":"PrototxtGen","children":[{"title":"run_save.m <span style='color:#111;'> 2.31KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 94B </span>","children":null,"spread":false},{"title":"PrototxtGen.m <span style='color:#111;'> 4.08KB </span>","children":null,"spread":false},{"title":"smoothL1Loss.prototxt <span style='color:#111;'> 152B </span>","children":null,"spread":false},{"title":"pooling.prototxt <span style='color:#111;'> 178B </span>","children":null,"spread":false},{"title":"maxout.prototxt <span style='color:#111;'> 310B </span>","children":null,"spread":false},{"title":"net_define.prototxt <span style='color:#111;'> 5.80KB </span>","children":null,"spread":false},{"title":"output.prototxt <span style='color:#111;'> 317B </span>","children":null,"spread":false},{"title":"activation.prototxt <span style='color:#111;'> 157B </span>","children":null,"spread":false},{"title":"gram.prototxt <span style='color:#111;'> 89B </span>","children":null,"spread":false},{"title":"3x3conv.prototxt <span style='color:#111;'> 650B </span>","children":null,"spread":false},{"title":"euclideanloss.prototxt <span style='color:#111;'> 155B </span>","children":null,"spread":false},{"title":"Inception.prototxt <span style='color:#111;'> 4.92KB </span>","children":null,"spread":false},{"title":"1x1conv.prototxt <span style='color:#111;'> 723B </span>","children":null,"spread":false}],"spread":false},{"title":"README.md <span style='color:#111;'> 660B </span>","children":null,"spread":false},{"title":".gitmodules <span style='color:#111;'> 104B </span>","children":null,"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"NNComplexity","children":[{"title":"run_save.m <span style='color:#111;'> 2.31KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 2.74KB </span>","children":null,"spread":false},{"title":"pooling.prototxt <span style='color:#111;'> 178B </span>","children":null,"spread":false},{"title":"maxout.prototxt <span style='color:#111;'> 310B </span>","children":null,"spread":false},{"title":"net_define.prototxt <span style='color:#111;'> 2.96KB </span>","children":null,"spread":false},{"title":"CNNComplexity.m <span style='color:#111;'> 4.19KB </span>","children":null,"spread":false},{"title":"img","children":[{"title":"1conv_sigmoid.png <span style='color:#111;'> 69.00KB </span>","children":null,"spread":false},{"title":"1conv_relu.png <span style='color:#111;'> 88.59KB </span>","children":null,"spread":false},{"title":"10conv_relu.png <span style='color:#111;'> 168.12KB </span>","children":null,"spread":false},{"title":"hori.png <span style='color:#111;'> 1.09KB </span>","children":null,"spread":false},{"title":"vert.png <span style='color:#111;'> 1.16KB </span>","children":null,"spread":false},{"title":"10conv_sigmoid.png <span style='color:#111;'> 106.29KB </span>","children":null,"spread":false}],"spread":true},{"title":"CNNComplexitySave.m <span style='color:#111;'> 5.01KB </span>","children":null,"spread":false},{"title":"output.prototxt <span style='color:#111;'> 317B </span>","children":null,"spread":false},{"title":"RGB2Lab.m <span style='color:#111;'> 1.77KB </span>","children":null,"spread":false},{"title":"Inception.prototxt <span style='color:#111;'> 4.92KB </span>","children":null,"spread":false},{"title":"Lab2RGB.m <span style='color:#111;'> 2.08KB </span>","children":null,"spread":false}],"spread":false},{"title":"Inceptionism","children":[{"title":"README.md <span style='color:#111;'> 772B </span>","children":null,"spread":false},{"title":"Inceptionism_big.m <span style='color:#111;'> 12.71KB </span>","children":null,"spread":false},{"title":"big_compare.png <span style='color:#111;'> 17.97MB </span>","children":null,"spread":false},{"title":"smoothL1.m <span style='color:#111;'> 182B </span>","children":null,"spread":false},{"title":"deploy.prototxt <span style='color:#111;'> 34.91KB </span>","children":null,"spread":false}],"spread":true},{"title":"FaceVis","children":[{"title":"gallery","children":[{"title":"Bingbing Li.png <span style='color:#111;'> 9.49KB </span>","children":null,"spread":false},{"title":"Yun-Fat Chow.png <span style='color:#111;'> 9.75KB </span>","children":null,"spread":false},{"title":"Mr Bean.png <span style='color:#111;'> 9.67KB </span>","children":null,"spread":false},{"title":"Bingbing Fan.png <span style='color:#111;'> 9.38KB </span>","children":null,"spread":false},{"title":"Anne Hathaway.png <span style='color:#111;'> 9.57KB </span>","children":null,"spread":false},{"title":"Bruce Lee.png <span style='color:#111;'> 9.22KB </span>","children":null,"spread":false}],"spread":true},{"title":"Inceptionism_face.m <span style='color:#111;'> 6.84KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 822B </span>","children":null,"spread":false},{"title":"DeepFace_set003_inception.prototxt <span style='color:#111;'> 3.39KB </span>","children":null,"spread":false},{"title":"LightenedCNN_B_deploy.prototxt <span style='color:#111;'> 6.82KB </span>","children":null,"spread":false},{"title":"webface_mean.proto <span style='color:#111;'> 39.07KB </span>","children":null,"spread":false}],"spread":true},{"title":"NeuralArt","children":[{"title":"gallery","children":[{"title":"star-tubingen.png <span style='color:#111;'> 470.28KB </span>","children":null,"spread":false}],"spread":true},{"title":"NeuralArtDemo.m <span style='color:#111;'> 6.62KB </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 1.49KB </span>","children":null,"spread":false},{"title":"gaussian_net.prototxt <span style='color:#111;'> 387B </span>","children":null,"spread":false},{"title":"VGG_16_nueralart.prototxt <span style='color:#111;'> 3.82KB </span>","children":null,"spread":false},{"title":"MakeStylePrototxt.m <span style='color:#111;'> 6.18KB </span>","children":null,"spread":false},{"title":"NeuralArtLbfgs.m <span style='color:#111;'> 2.89KB </span>","children":null,"spread":false},{"title":"NeuralArtFunc.m <span style='color:#111;'> 5.21KB </span>","children":null,"spread":false},{"title":"smoothL1.m <span style='color:#111;'> 182B </span>","children":null,"spread":false},{"title":"googlenet_neuralart.prototxt <span style='color:#111;'> 30.44KB </span>","children":null,"spread":false},{"title":"VGG_16_nueralart_style.prototxt <span style='color:#111;'> 4.28KB </span>","children":null,"spread":false},{"title":"gaussian_net_template.prototxt <span style='color:#111;'> 405B </span>","children":null,"spread":false},{"title":"minFunc","children":null,"spread":false},{"title":"VGG_16_nueralart_style_gen.prototxt <span style='color:#111;'> 5.54KB </span>","children":null,"spread":false},{"title":"getColorPrior.m <span style='color:#111;'> 488B </span>","children":null,"spread":false},{"title":"VGG_16_nueralart_content.prototxt <span style='color:#111;'> 3.90KB </span>","children":null,"spread":false},{"title":"NeuralArtCost.m <span style='color:#111;'> 558B </span>","children":null,"spread":false}],"spread":false},{"title":"FilterVis","children":[{"title":"gallery","children":[{"title":"alexnet.png <span style='color:#111;'> 1.16MB </span>","children":null,"spread":false},{"title":"inception.png <span style='color:#111;'> 875.25KB </span>","children":null,"spread":false},{"title":"googlenet-conv2.png <span style='color:#111;'> 349.64KB </span>","children":null,"spread":false},{"title":"vgg.png <span style='color:#111;'> 991.01KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 704B </span>","children":null,"spread":false},{"title":"googlenet_visualize.prototxt <span style='color:#111;'> 35.72KB </span>","children":null,"spread":false},{"title":"demo.m <span style='color:#111;'> 364B </span>","children":null,"spread":false},{"title":"googlenet_receptive.prototxt <span style='color:#111;'> 35.72KB </span>","children":null,"spread":false},{"title":"ShowMidFilter.m <span style='color:#111;'> 7.21KB </span>","children":null,"spread":false},{"title":"GoogLeNet_Visualization_conv2.m <span style='color:#111;'> 8.46KB </span>","children":null,"spread":false},{"title":"getReceptiveField.m <span style='color:#111;'> 3.33KB </span>","children":null,"spread":false},{"title":"googlenet.prototxt <span style='color:#111;'> 35.63KB </span>","children":null,"spread":false},{"title":"GoogLeNet_Visualization_4c.m <span style='color:#111;'> 9.17KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明