caffe windows

Because of the project needs, so in their own notebook configuration on the Windows GPU version of the Caffe;Hardware: win10 ; gtx1070 (Computational ability 6.1);Installation software: cudnn-8.0-windows10-x64-v5.1 ; cuda_8.0.61_win10 ; nugetpackages.zip ; CAF Fe-master;Can be downloaded on their own website (I also provide Baidu cloud: Link: https://pan.baidu.com/s/1miDu1qo password: w7ja)Reference link:

Before opening the Windows version of Caffe, there is a. sln file that can be directly executed by vs2013 after loading, this time encountering some pits, eventually compiling well, and putting the mnist routines running through the Windows platform again, should say, if you don't want to use VS Management Engineering Write C + +, with

Procedures for Configuring the C + + development environment on Windows:The process of configuring Caffe, TensorFlow, and Mxnet on UbuntuBased on Anaconda21, CaffePip is not allowed to install packages to the default Python environment, but also to Anaconda environment2. Methods of TensorFlow3, MxnetWith the "hands-on deep learning" course to install, or the official website from the source installation is possibleMxnet Prompt Core Dump solution insta

windows+caffe+vs2013+cuda6.5 Configuration Record http://www.bubuko.com/infodetail-902302.htmlcaffe+windows7+vs2013 Configuration http://blog.csdn.net/tjusxh/article/details/48463409Caffe Configuration Guide on windows8.1+cuda6.5+vs2013 http://www.wtoutiao.com/p/q78qy6.htmlCaffe the first step in Windows Learning: Compiling and Installing (Vs2012+win) http://www.

First install ANACONDA2, you can see the online tutorials. I originally had python2.7 32-bit version of the computer, found that the compilation of Python interface is not successful, the specific 32-bit Python can not succeed I am not sure. But I'm ready to reload the 64-bit python for convenience. Using Anaconda2 is handy, but when you install a python in a Anaconda2 environment. Install Caffe-windows I

installation Caffe Instruction BookEnvironment: Linux 64-bitVideo card for Intel + AMD, non-NVIDIA graphicsNo GPUI. Installation Preparation work1. log in as AdministratorIn the top left corner, click on the icon to search for terminal (that is, terminal) and log in as Super Administrator:Command: sudo suInput password can be2. Install BoostCommand: sudo apt-get install Libboost-all-dev3. Installing BLAS(Intel MKL)(1) Download Intel MKL Library and in

Caffe is a very clear and efficient deep learning framework, now has a lot of users, but also gradually formed their own community, the community can discuss related issues. I began to look at the relevant content of deep learning to be able to use Caffe training to test their own data, see a lot of sites, tutorials and blogs, also took a lot of detours, the whole process to comb and summarize, in order to

all triedProblem: **.exe has stopped workingIssue Event Name: AppcrashApplication Name: Compute_image_mean.exeApplication version: 0.0.0.0Application Timestamp: 579c50f5Fault Module Name: MSVCR120.dllFailure Module Version: 12.0.21005.1Fault module timestamp: 524f83ffException code: 40000015Exception Offset: 0000000000074a46OS version: 6.1.7601.2.1.0.256.1Regional Settings id:2052Additional Information 1:e22cAdditional Information 2:e22cb5e15a91772d8adeef21d49cc56bAdditional Information 3:3,676

, on disk HDF5 data format or in a normal image format:(1), Database (Data), (2), In-memory (Memorydata), (3), Hdf5input (Hdf5data), (4), HDF5 Output (Hdf5output), (5), Images ( ImageData), (6), Windows (Windowdata), (7), Dummy (Dummydata).Common Layers: (1), innerproduct (Innerproduct), (2), splitting (Split), (3), flattening (Flatten), (4), reshape (reshape); (5), concatenation (Concat), (6), slicing (Slice), (7), Elementwise Operations (eltwise), (

Caffe installation is very troublesome, especially my last choice is to install on Windows, really not easy. Caffe in Ubuntu installation is relatively simple, a lot of information, later installed and then write the installation process. Here are some references to the Caffe installation process on

Recently, in learning deep learning, the tool used is caffe, easier to use, not long-winded, first of all, said the configuration and compilation of the environment. the platform of the system is win10+matlab2014b+vs2013. Before starting, to install the Cuda driver, I use the Cuda 7.5 version (to sync with the version used inside the Caffe). First, in https://github.com/happynear/

After the guidance of friends, and finally successfully compiled the Caffe on Windows7, where the compilation process is recorded Installation file Preparation Installing Visual Studio 2013 Installing Cuda75 Compiling Caffe 1 extracting the downloaded caffe-windows file 2 Go to

Due to the introduction of a previous article on the implementation of their own network layer, but the article difficult, this time I have the simplest image scaling layer for example to implement. Before you explain, there are a few prerequisites you need to master, and that is that you already know how to install Caffe and the directories inside Caffe. First of all, we design the parameters of our layer

Reference URL: http://www.cnblogs.com/empty16/p/4828476.htmlSolemn statement:When using command-line operations under Linux, be sure to know what the command line means and then execute it, or enter a command if you don't know what happens next, and Linux is likely to collapse.Because under Linux, when you use sudo and root privileges, you can manipulate any file, even the system files that are in use.Caffe the following problems appear in the installation process some of the steps did not follo

Objective:Recently in learning deep learning, the first thing to solve is the open source framework of the environment installed. has been studying Google's TensorFlow open source framework, the recent experiment needs to compare with others ' algorithms, the download of other people's code is caffe, so want to build a good caffe environment to run other people's code. There's been a lot of detours in the m

reproduced from: http://blog.csdn.net/happynear/article/details/45372231 Note:1 has succeeded in following this configuration and successfully tested the C + + interface for Windows Caffe 2) This first blog is the first step: reconfiguring a Caffe environment under Windows 0. Recent Updates The content of this blog i

Introduction and use of Caffe-tensorflow conversion Caffe-tensorflow can convert Caffe network definition file and pre-training parameters into TensorFlow form, including TensorFlow network structure source code and NPY format weight file.Download the source code from GitHub and enter the source directory to run convert.py.Its invocation format is Python convert

editing, Python implementation, the original is mainly deployed in Ubuntu, but also the great God released the Windows version, but other relevant information is less, not suitable for novice use, so or Ubuntu is more suitable for beginners. RelativelyThis article contains 5 parts, including: The first part of Linux installation Part II installation of NVidia CUDA Toolkit (*.deb method) Part three MATLAB installation and commissionin

Caffe is a concise and efficient deep learning framework, the specific introduction can be seen here, Caffe environment configuration process can refer to here, I built the environment when the collection of a lot of information, here to organize a bit, introduce caffe in the environment without cuda how to configure.1. Installing Build-essentialsinstall some bas

Main reference HTTPS://GITHUB.COM/WEILIU89/CAFFE/TREE/SSD get SSD code, download complete with a Caffe folder git clone https://github.com/weiliu89/caffe.git cd caffe git Checkout SSDGo to the downloaded Caffe directory and copy the configuration file CD Caffe CP Makefile.co