AWS EC2 GPU enabled Caffe AMI
sono-bfio edited this page Jul 22, 2016
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- 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
- 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)
- Installation
- Installation (OSX)
- Making Prototxt Nets with Python
- Model Zo
- Model Zoo
- Models accuracy on ImageNet 2012 val
- OpenCV 3.2 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 or 15.10 Installation Guide
- Using a Trained Network: Deploy
- Working with Blobs
- Show 20 more pages…
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Bitfusion Boost Ubuntu 14 Caffe AMI
An up to date and maintained AMI by Bitfusion. This AMI will allow you to get started with Caffe machine learning and deep learning in minutes.
Pre-installed with:
- Ubuntu 14
- Nvidia Drivers
- Cuda 7.5 Toolkit
- cuDNN 5, Caffe
- pyCaffe
- Jupyter.
- Boost enabled for multi-node deployment.