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This repository was archived by the owner on Aug 5, 2022. It is now read-only.

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Yangqing Jia edited this page Nov 15, 2013 · 9 revisions

Welcome to the caffe wiki!

Toggle table of contents Pages 49

Home
Asynchronous SGD in Intel Caffe
Benchmark Caffe Time 2.0
Borrowing Weights from a Pretrained Network
Build Caffe with Intel Compiler
Caffe on EC2 Ubuntu 14.04 Cuda 7
Caffe Output: .caffemodel .solverstate
Contributing
Convolution weights initialization with Gabor Filters
Development
Excluding Layers: Train and Test Phase
Fine Tuning or Training Certain Layers Exclusively
How to build run Intel Caffe Docker image
How to create ImageNet LMDB
How to get and run multi node Intel Caffe in Docker
How to Install Intel Caffe on Suse Linux Enterprise 12 SP1
IDE Nvidia’s Eclipse Nsight
Image Format: BGR not RGB
Install Caffe on EC2 from scratch (Ubuntu, CUDA 7, cuDNN 3)
Install Intel Caffe
Installation
Installation (OSX)
Intel® Optimization for Caffe AWS EC2 C5 (SKX) Multi node Scaling
INTEL® OPTIMIZED CAFFE PERFORMANCE AND CONVERGENCE
Introduction of Accuracy Calibration Tool for 8 Bit Inference
Model Zoo
Models accuracy on ImageNet 2012 val
Multinode cifar10
Multinode googlenet
Multinode guide
Multinode Training with PyCaffe
Publications
Recommendations to achieve best performance
Related Projects
Reporting Bugs and Other Issues
ReQuEST Artifact Installation Guide
Run benchmark
Simple Example: Sin Layer
Solver Prototxt
SSD: Single Shot MultiBox Detector
The Data Layer
The Datum Object
Training and Resuming
Ubuntu 14.04 ec2 instance
Ubuntu 14.04 VirtualBox VM
Ubuntu 16.04 or 15.10 Installation Guide
Ubuntu 16.04 or 15.10 OpenCV 3.1 Installation Guide
Using a Trained Network: Deploy
Working with Blobs

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