Matlab-Deep Learning Toolbox
Deep Learning Toolbox™提供了一个框架，用于设计和实现具有算法，预训练模型和应用程序的深度神经网络。您可以使用卷积神经网络（ConvNets，CNN）和长期短期记忆（LSTM）网络对图像，时间序列和文本数据进行分类和回归。应用程序和图表可帮助您可视化激活，编辑网络体系结构以及监控培训进度。
对于小型训练集，您可以使用预训练的深层网络模型（包括SqueezeNet，Inception-v3，ResNet-101，GoogLeNet和VGG-19）以及从TensorFlow™-Keras和Caffe导入的模型执行传输学习。
了解深度学习工具箱的基础知识
深度学习图像
从头开始训练卷积神经网络或使用预训练网络快速学习新任务
使用时间序列，序列和文本进行深度学习
为时间序列分类，回归和预测任务创建和训练网络
深度学习调整和可视化
绘制培训进度，评估准确性，进行预测，调整培训选项以及可视化网络学习的功能
并行和云中的深度学习
通过本地或云中的多个GPU扩展深度学习，并以交互方式或批量作业培训多个网络
深度学习应用
通过计算机视觉，图像处理，自动驾驶，信号和音频扩展深度学习工作流程
深度学习导入，导出和自定义
导入和导出网络，定义自定义深度学习图层以及自定义数据存储
深度学习代码生成
生成MATLAB代码或CUDA ®和C ++代码和部署深学习网络
函数逼近和聚类
使用浅层神经网络执行回归，分类和聚类
时间序列和控制系统
基于浅网络的模型非线性动态系统; 使用顺序数据进行预测。
文件下载
资源详情
[{"title":"（ 75 个子文件 14.06MB ） Matlab-Deep Learning Toolbox","children":[{"title":"DeepLearnToolbox-master","children":[{"title":"SAE","children":[{"title":"saetrain.m <span style='color:#111;'> 308B </span>","children":null,"spread":false},{"title":"saesetup.m <span style='color:#111;'> 132B </span>","children":null,"spread":false}],"spread":true},{"title":"create_readme.sh <span style='color:#111;'> 744B </span>","children":null,"spread":false},{"title":"NN","children":[{"title":"nnchecknumgrad.m <span style='color:#111;'> 704B </span>","children":null,"spread":false},{"title":"nnupdatefigures.m <span style='color:#111;'> 1.81KB </span>","children":null,"spread":false},{"title":"nnapplygrads.m <span style='color:#111;'> 628B </span>","children":null,"spread":false},{"title":"nnff.m <span style='color:#111;'> 1.81KB </span>","children":null,"spread":false},{"title":"nntrain.m <span style='color:#111;'> 2.36KB </span>","children":null,"spread":false},{"title":"nneval.m <span style='color:#111;'> 811B </span>","children":null,"spread":false},{"title":"nnbp.m <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"nnsetup.m <span style='color:#111;'> 1.80KB </span>","children":null,"spread":false},{"title":"nnpredict.m <span style='color:#111;'> 192B </span>","children":null,"spread":false},{"title":"nntest.m <span style='color:#111;'> 184B </span>","children":null,"spread":false}],"spread":true},{"title":"DBN","children":[{"title":"dbnunfoldtonn.m <span style='color:#111;'> 425B </span>","children":null,"spread":false},{"title":"rbmup.m <span style='color:#111;'> 89B </span>","children":null,"spread":false},{"title":"rbmtrain.m <span style='color:#111;'> 1.37KB </span>","children":null,"spread":false},{"title":"dbnsetup.m <span style='color:#111;'> 557B </span>","children":null,"spread":false},{"title":"rbmdown.m <span style='color:#111;'> 90B </span>","children":null,"spread":false},{"title":"dbntrain.m <span style='color:#111;'> 232B </span>","children":null,"spread":false}],"spread":true},{"title":"说明.txt <span style='color:#111;'> 1.17KB </span>","children":null,"spread":false},{"title":"CONTRIBUTING.md <span style='color:#111;'> 544B </span>","children":null,"spread":false},{"title":".travis.yml <span style='color:#111;'> 249B </span>","children":null,"spread":false},{"title":"util","children":[{"title":"randp.m <span style='color:#111;'> 2.03KB </span>","children":null,"spread":false},{"title":"myOctaveVersion.m <span style='color:#111;'> 169B </span>","children":null,"spread":false},{"title":"whiten.m <span style='color:#111;'> 183B </span>","children":null,"spread":false},{"title":"tanh_opt.m <span style='color:#111;'> 54B </span>","children":null,"spread":false},{"title":"visualize.m <span style='color:#111;'> 1.05KB </span>","children":null,"spread":false},{"title":"flipall.m <span style='color:#111;'> 80B </span>","children":null,"spread":false},{"title":"normalize.m <span style='color:#111;'> 97B </span>","children":null,"spread":false},{"title":"sigm.m <span style='color:#111;'> 48B </span>","children":null,"spread":false},{"title":"isOctave.m <span style='color:#111;'> 108B </span>","children":null,"spread":false},{"title":"sigmrnd.m <span style='color:#111;'> 126B </span>","children":null,"spread":false},{"title":"softmax.m <span style='color:#111;'> 256B </span>","children":null,"spread":false},{"title":"flipudf.m <span style='color:#111;'> 576B </span>","children":null,"spread":false},{"title":"im2patches.m <span style='color:#111;'> 313B </span>","children":null,"spread":false},{"title":"zscore.m <span style='color:#111;'> 137B </span>","children":null,"spread":false},{"title":"rnd.m <span style='color:#111;'> 49B </span>","children":null,"spread":false},{"title":"fliplrf.m <span style='color:#111;'> 543B </span>","children":null,"spread":false},{"title":"allcomb.m <span style='color:#111;'> 2.56KB </span>","children":null,"spread":false},{"title":"flicker.m <span style='color:#111;'> 208B </span>","children":null,"spread":false},{"title":"randcorr.m <span style='color:#111;'> 283B </span>","children":null,"spread":false},{"title":"patches2im.m <span style='color:#111;'> 242B </span>","children":null,"spread":false},{"title":"expand.m <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"makeLMfilters.m <span style='color:#111;'> 1.85KB </span>","children":null,"spread":false}],"spread":false},{"title":"LICENSE <span style='color:#111;'> 1.28KB </span>","children":null,"spread":false},{"title":"REFS.md <span style='color:#111;'> 950B </span>","children":null,"spread":false},{"title":"README.md <span style='color:#111;'> 8.65KB </span>","children":null,"spread":false},{"title":"CNN","children":[{"title":"cnnsetup.m <span style='color:#111;'> 1.97KB </span>","children":null,"spread":false},{"title":"cnnapplygrads.m <span style='color:#111;'> 575B </span>","children":null,"spread":false},{"title":"cnntest.m <span style='color:#111;'> 193B </span>","children":null,"spread":false},{"title":"cnnbp.m <span style='color:#111;'> 2.09KB </span>","children":null,"spread":false},{"title":"cnntrain.m <span style='color:#111;'> 845B </span>","children":null,"spread":false},{"title":"cnnff.m <span style='color:#111;'> 1.73KB </span>","children":null,"spread":false},{"title":"cnnnumgradcheck.m <span style='color:#111;'> 3.35KB </span>","children":null,"spread":false}],"spread":true},{"title":"data","children":[{"title":"mnist_uint8.mat <span style='color:#111;'> 14.05MB </span>","children":null,"spread":false}],"spread":true},{"title":"CAE","children":[{"title":"caedown.m <span style='color:#111;'> 259B </span>","children":null,"spread":false},{"title":"caeapplygrads.m <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"scaetrain.m <span style='color:#111;'> 270B </span>","children":null,"spread":false},{"title":"scaesetup.m <span style='color:#111;'> 1.89KB </span>","children":null,"spread":false},{"title":"caebbp.m <span style='color:#111;'> 917B </span>","children":null,"spread":false},{"title":"caetrain.m <span style='color:#111;'> 1.12KB </span>","children":null,"spread":false},{"title":"caenumgradcheck.m <span style='color:#111;'> 3.53KB </span>","children":null,"spread":false},{"title":"caebp.m <span style='color:#111;'> 1011B </span>","children":null,"spread":false},{"title":"caeup.m <span style='color:#111;'> 489B </span>","children":null,"spread":false},{"title":"caeexamples.m <span style='color:#111;'> 754B </span>","children":null,"spread":false},{"title":"max3d.m <span style='color:#111;'> 173B </span>","children":null,"spread":false},{"title":"caesdlm.m <span style='color:#111;'> 845B </span>","children":null,"spread":false}],"spread":false},{"title":"README_header.md <span style='color:#111;'> 2.19KB </span>","children":null,"spread":false},{"title":"tests","children":[{"title":"runalltests.m <span style='color:#111;'> 165B </span>","children":null,"spread":false},{"title":"test_nn_gradients_are_numerically_correct.m <span style='color:#111;'> 749B </span>","children":null,"spread":false},{"title":"test_example_NN.m <span style='color:#111;'> 3.17KB </span>","children":null,"spread":false},{"title":"test_example_CNN.m <span style='color:#111;'> 981B </span>","children":null,"spread":false},{"title":"test_cnn_gradients_are_numerically_correct.m <span style='color:#111;'> 552B </span>","children":null,"spread":false},{"title":"test_example_DBN.m <span style='color:#111;'> 1.01KB </span>","children":null,"spread":false},{"title":"test_example_SAE.m <span style='color:#111;'> 934B </span>","children":null,"spread":false}],"spread":false}],"spread":false}],"spread":true}]
评论信息
-
-
-
zgf841122 :资源与简介不相符，仍然是7年前的deeplearning toolbox。没有简介中说的那些网络模型。2020-08-08 -
其他资源
- 基于QT的小型OA-ERP系统(源码1)
- Java微信公众号开发毕业论文
- YOLO的squeezeNet模型
- 布谷鸟算法
- CC2650 CC2630 zstack例程程序加注中文注解
- 京东最新抢购助手V1.5.exe
- vb.net帮助文档
- python课件 国科大
- arduion库文件LiquidCrystal_I2C.rar
- 蓝桥杯练习题库【全】
- opengl对stl文件的读取及显示。
- LCD12864显示ADC0809
- 关于MIMO中均衡的一些matlab代码
- Redmine Cookbook
- GlobalPlatform卡片规范2.2 中文版
- 指纹定位算法仿真matlab代码
- consul_1.9.2_windows_amd64.zip
- FM350-1详细资料
- jquery带拖动的进度条播放停止代码.zip
- vs2010 mfc编写的串口助手
- EP1C3T144C8原理图
- PB课程设计 工资管理系统
- 数据库脚本 基于JSP和mysql的火车票售票系统
- 《计算机病毒防治实用技术》[PDF]
- 软件设计师历年真题解析(2014-2017)
- LINUX 离线安装NFS
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
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