搜索资源列表
multiclassify
- 用AlexNet网络模型实现大量图片的批量分类。-With AlexNet network model to achieve a lot of pictures of batch classification.
MatConvNet-mr-master
- 牛津大学开发的matconvnet工具包，可以生成vgg，alexnet等等模型，imagenet，mnist多种数据集可以跑-Oxford University developed matconvnet toolkit can generate vgg, alexnet etc. model, imagenet, mnist multiple data sets can be run
AlexNet
- 基于AlexNet模型的手写数字识别，用Tensorflow实现，可直接运行，准确率达到98 以上-Model based AlexNet handwritten digit recognition, implemented Tensorflow, can be run directly, the accuracy rate of more than 98
cascadeCNN_license_plate_detection-master
- 很好的一个车牌检测程序,检测率很高，快速卷积神经网络SoftwareMatlab R2016b Matlab R2016b(plate lisence detectionMatlab lesson design for vehicle detection and recognition. Using cifar-10Net to training a RCNN, and finetune AlexNet to classify. Thanks to Cars Dataset : http:/
FPGA_Based_CNN-master
- 这个项目是一个基于FPGA的alexnet第一卷积层实现。(This project is a FPGA based implementation of first Convolutional Layer of AlexNet.)
WebcamObjectClassification
- matlab Webcam图像辨别 需安装webcam和alexnet app(matlab WebcamObjectClassification)
AlexNet-master
- alexnet with lua,run in torch
AlexNet
- 使用TensorFlow 实现 AlexNet ，并使用 Mnist 数据集进行训练并测试。(AlexNet is implemented using TensorFlow and trained and tested using the Mnist data set.)
alexnet
- ALEXNET较为简单的一种实现，参数调整比较方便，数据容易替换(ALEXNET a simpler implementation, parameter adjustment more convenient, easy to replace the data)
Desktop
- complete AlexNet with tensorflow
matconvnet-1.0-beta24
- 深度学习基于MATLAB的Alexnet模型训练，模型是基于imagenet训练出参数(Deep learning model based on MATLAB Alexnet training model is based on imagenet training parameters)
tensorflow_alexnet_classify-master
- 利用tensorflow框架实现的alexnet网络(tensorflow alexnet code implementation)
tfAlexNet-master
- 基于tensorflow的alexnet实现，用于机器学习图片分类网络模型入门(Tensorflow based alexnet implementation for machine learning picture classification network model introduction)
alexnet_test
- 因上传文件大小的限制,仅包含了cifar10部分数据集,将32*32*3扩展到227*227*3,然后完全使用alexnet,短时间训练,可达75%的准确率(Due to the limitation of uploaded file size, it contains only part of cifar10 data set, extends 32*32*3 to 227*227*3, and then uses alexnet completely, and training for a
DeepHCCR-master
- 基于Caffe框架的手写汉字识别模型，分别采用GoogLeNet and AlexNet两种网络。(Handwritten Chinese character recognition)
alexnet
- CNN in matlab to use webcam for things rgconitzing
alexnet
- alexnet网络结构，基于python语言下的tensorflow框架(The network structure of alexnet)
Mine_CNN_MNIST
- 深度学习的部分经典模型，tensorflow1.4，python3.5，有AlexNet，LeNet等(Part of the classic model of deep learning, tensorflow1.4, python3.5, with AlexNet, LeNet, etc.)
ALEXNET
- 搭建的一个AlexNet的网络结构，包含原始AlexNet的最基本结构，使用的数据集为mnist，所以对其中的参数做出较小的修改，搭建网络方式比较典型，可根据范例结构自行扩展（包括原始mnist数据）(Build an AlexNet network structure, including the most basic structure of the original AlexNet, using a data set of mnist, so the parameters of the s
depth-map-prediction-
- 基于AlexNet网络模型的单幅彩色图的深度估计，在NYU Depth 数据集，Make3D 数据集，KITTI 数据集经过测试效果很好，只是本次上传由于大小限制，压缩包不包括数据集，读者可自行下载数据集进行训练！(Based on the AlexNet network model, the depth estimation of a single color map, in the NYU Depth dataset, Make3D dataset, KITTI dataset ha