Skip to content

Navigation Menu

Explore
By company size
By use case
By industry
View all solutions
Topics
- AI
- DevOps
- Security
- Software Development
- View all
Explore
- GitHub Sponsors
  Fund open source developers
- The ReadME Project
  GitHub community articles
Repositories
- Enterprise platform
  AI-powered developer platform
Available add-ons
Pricing

Search code, repositories, users, issues, pull requests...

Search

Clear

Search syntax tips

Provide feedback

We read every piece of feedback, and take your input very seriously.

Include my email address so I can be contacted

Saved searches

Use saved searches to filter your results more quickly

Name

Query

To see all available qualifiers, see our documentation.

You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session.

Dismiss alert

BVLC / caffe Public

Notifications You must be signed in to change notification settings
Fork 18.7k
Star 34.2k

Code
Issues 900
Pull requests 287
Actions
Projects
Wiki
Security
Insights

Additional navigation options

Code
Issues
Pull requests
Actions
Projects
Wiki
Security
Insights

Ubuntu 16.04 or 15.10 Installation Guide

Jump to bottom Edit New page

Yuan Ma edited this page Sep 20, 2017 · 81 revisions

45456454534534

Add a custom footer

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

Add a custom sidebar

Clone this wiki locally

Footer

© 2025 GitHub, Inc.

Footer navigation

Terms
Privacy
Security
Status
Docs
Contact

You can’t perform that action at this time.