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Yangqing Jia edited this page Nov 15, 2013 · 12 revisions

Welcome to the caffe wiki!

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Toggle table of contents Pages 41

Home
AWS EC2 GPU enabled Caffe AMI
Borrowing Weights from a Pretrained Network
Caffe installing script for ubuntu 16.04 support Cuda 8
Caffe on EC2 Ubuntu 14.04 Cuda 7
Caffe Output: .caffemodel .solverstate
Commonly encountered build issues
Contributing
Development
Excluding Layers: Train and Test Phase
Faster Caffe Training
Fine Tuning or Training Certain Layers Exclusively
GeForce GTX 1080, CUDA 8.0, Ubuntu 16.04, Caffe
IDE Nvidia’s Eclipse Nsight
Image Format: BGR not RGB
Install Caffe on EC2 from scratch (Ubuntu, CUDA 7, cuDNN 3)
Install Caffe on EC2 from scratch (Ubuntu, CUDA 7, cuDNN)
Installation
Installation (OSX)
Linking Caffe with BLIS
make: *** [all] Error 2 Solved
Making Prototxt Nets with Python
Model Zoo
Models accuracy on ImageNet 2012 val
Models accuracy on ImageNet 2012 val.
OpenCV 3.2 Installation Guide on Ubuntu 16.04
OpenCV 3.3 Installation Guide on Ubuntu 16.04
Python Layer Unit Tests
Related Projects
Reporting Bugs and Other Issues
Simple Example: Sin Layer
Solver Prototxt
The Data Layer
The Datum Object
Training and Resuming
Ubuntu 14.04 ec2 instance
Ubuntu 14.04 VirtualBox VM
Ubuntu 16.04 Installation Guide
Ubuntu 16.04 or 15.10 Installation Guide
Using a Trained Network: Deploy
Working with Blobs

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