搜索资源列表
cnncoder
- 深度学习中的卷积神经网络代码,包括前向后向反馈以及训练应用等-caffe deep learning
caffe-master
- SR104驱动程序在51单片机上的应用，使用VB平台对其进行编写-SR104 driver application on 51 single-chip, using VB platform to be prepared
_caffe
- windows下安装caffe，python接口-caffe for python
caffe-cvprw15-master
- cvpr2016论文Deep Learning of Binary Hash Codes for Fast Image Retri (HDS)对应的matlab源代码-cvpr2016 paper Deep Learning of Binary Hash Codes for Fast Image Retri (HDS) corresponding matlab source code
caffe-regression-master
- 人脸特征点定位，将深度学习运用到人脸对齐中，卷积神经网络 -Facial features localization, depth learning to use face alignment, the convolutional neural network
Deep.Learning.Yann.LeCun
- 基于深度学习Deep Learning的相关研究与介绍，其中涵盖caffe 等开发平台的原理介绍-Based on the Deep Learning Deep Learning related research and introduction, which covers the development platform caffe and other principles introduced
blob
- caffe 深度学习开源框架 blob块的源码-caffe deep learning architecture blob of data 。
code
- caffe 日志解析 以及画图工具。将日志解析为所需数据并保存为csv 文件。-caffe log parsing and drawing tools. The log parsing for the required data and save it as a csv file.
kthread.tar
- 简单的线程库，使用了C++11的thread并模仿其接口。主要目的是支持TR1中的TLS功能，同时模仿TR1中的Thread接口，在移除caffe中对boost的依赖有很大作用（VS2013不支持TLS）。-A simple thread library, which use the thread of C++11 and its interface. It can be used to support the TLS in C++ TR1. It is used to remove boost
classify0623
- 基于caffe的预测代码，可以看作原caffe预测代码的简化版本-prediction code based caffe
LightNet-master
- 目前最轻量级别的深度学习源码，采用CNN实现高精度识别，与目前流行的Caffe相比，具有实现灵活，可迁移程度高等优势，值得深入学习！-Currently the lightest level of deep learning source, using CNN to achieve high-precision identification, compared with the current popular Caffe, with the realization of flexible, hi
face-landmark-localization-master
- 使用caffe 进行人脸关键点检测，共68个关键点，使用的语言是python。-Caffe use for face detection key points, a total of 68 key points, the language used is python.
caffe-master
- 种基于期望最大化( E M) 算法的局部图像特征的语义提取方法。首先提取图像的局部图像特 征， 统计特征在视觉词汇本中的出现频率， 将图像表示成词袋模型； 引入文本分析中的潜在语义分析技术建立从低层图像 特征到高层图像语义之间的映射模型； 然后利用 E M 算法拟合概率模型， 得到图像局部特征的潜在语义概率分布； 最后利 用该模型提取出的图像在潜在语义上的分布来进行图像分析和理解。-Semantic extraction of local image features based on expe
FilelistGenerator
- 用于CAFFE图片训练集、测试集的生成，可生成文件列表及分类，用于后续处理-Used for CAFFE training set and testing set generated images, can generate the file list and classification, for subsequent processing
cnn-cbir-benchmark-master
- python语言，使用卷积神经网络的特征做图像检索(image retrieval using CNN)
CAFFE
- 使用python进行 FCN批量测试图片，使用训练好的模型批量测试图片(Use the python for FCN batch test pictures, use the trained model to test the image in batches)
mean
- caffe-windows 训练模型所需的mean文件(The mean file required for the caffe-windows training model)
lenet_iter_10000
- caffe-windows mnist 训得到的模型，可用于手写字体识别(Caffe-windows MNIST training model can be used for handwritten font recognition)
mnist_train_leveldb
- caffe-windows mnist 训练用的数据集，此数据集用于mnist训练模型(Caffe-windows MNIST training data set, this data set is used for MNIST training model)
mnist_test_leveldb
- caffe-windows mnist 测试用数据集，此数据集用于mnist训练时的测试数据集(Data sets for caffe-windows MNIST tests, which are used for test data sets when MNIST is trained)