搜索资源列表
caffe-note-1
- caffe笔记1 自建数据集并训练, 可用于任何系统-Caffe u7B14 u8BB01 u81EA u5EFA u657 u636E u96C6 u5E76 u8BAD u7EC3
caffe-master
- 深度学习有用的工具caffe,具有使用方便、层次分明、运行速度快等优点-Deep learning，useful tool Caffe,easy to use, clear, fast to operat and other advantages
caffe-master
- caffe深度学习框架 内置mnist、cifair-10数据集-caffe deep learning framework
loadcaffe-master
- 通过caffe和matlab，实现cnn网络(supported by https://github.com/soumith/inception.torch NN support means both CPU and GPU backends. You can also use Caffe inside Torch with this: https://github.com/szagoruyko/torch-caffe-binding However you can't use bo
深度学习 21天实战Caffe
- 深度学习 21天实战caffe pdf 学习caffe的实用入门书籍(Depth study 21 days of practical combat Caffe PDF learning Caffe practical entry book)
caffe-segnet
- 智能车导航，神经网络学习，适合初学者，可以跨平台使用，需要安装caffe(Intelligent vehicle navigation)
caffe-master
- Caffe安装包，caffe是一个清晰，可读性高，快速的深度学习框架。(Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD
python
- 载入caffe模型并输出结果，显示分类概率(Load the Caffe model and output the results)
CNN资料
- 深度学习讲义，caffe官方中文译本教程，caffe个人学习笔记，卷积神经网络结构演化介绍，CNN学习总结(deep learning lecture, caffe official chinese lecture, caffe personal learning note, the Convolutional Neural Network leaning review)
caffe-0.999.tar
- 基于深度学习的linux caffe框架(Linux Caffe framework based on deep learning)
OpenCL-caffe-stable
- caffe 深度学习OPENCL框架 个人感觉对深度学习很有帮助(Caffe depth learning OPENCL framework, personal feelings for deep learning is helpful)
caffe-tensorflow
- caffe tensorflow library
图片文字定位CTPN-master
- 使用caffe深度学习框架，实现图片文字定位功能：主要代码在tools工具包下的demo.py程序，主要功能模块在src目录下(Using the caffe depth learning framework, the image text location function is realized: the main code is the dem.py program under the tools toolkit, and the main function module is under
深度学习 21天实战Caffe ,赵永科著(暗) ,P373.pdf
- 深度学习 21天实战Caffe 教程 快速掌握框架(Deep learning 21 days real battle Caffe tutorials fast mastering framework)
caffe-tensorflow-master
- 实现CamVid数据集分割功能，利用caffe转tensorflow模型，得以实现，使用FCN网络(come true the function of datasets of CamVid to segmantic segmentation)
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)
caffeimporter
- matlab2017b中新增了许多深度学习算法，其中对与caffe平台的连接也做了优化，此文件为对应的caffeimporter工具箱，可在matlab中直接安装，用法擦看2017b中的相关文档(matlab2017b added a number of new depth learning algorithm, which also made the connection with the caffe platform has also been optimized, this file is
lib.tar
- 将训练之后的caffe model生成.so库文件，方便在工程中直接调用，不需要写caffe test分代码(he Caffe model after the training is generated for the.so library file, which is convenient to call in the project and does not need to write Caffe test code)
DeepLearningBooks
- caffe, tensorflow, 多本深度学习的经典框架入门书籍，官方文档等。(caffe, tensorflow, deeplearning frameworks to learn. several great text books.)
deep-learning-opencv
- opencv3.3以上的版本调用caffe模型提前训练好的模型进行图片识别。(The above version of opencv3.3 calls the Caffe model in advance training model for image recognition.)