Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link
###Installation
- verify all the preinstallation according to CUDA guide e.g.
lspci | grep -i nvidia| # Note – this is not a bash script (some of the steps require reboot) | |
| # I named it .sh just so Github does correct syntax highlighting. | |
| # | |
| # This is also available as an AMI in us-east-1 (virginia): ami-cf5028a5 | |
| # | |
| # The CUDA part is mostly based on this excellent blog post: | |
| # http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/ | |
| # Install various packages | |
| sudo apt-get update |
| import os | |
| import numpy as np | |
| from matplotlib import pyplot as plt | |
| from time import time | |
| from foxhound import activations | |
| from foxhound import updates | |
| from foxhound import inits | |
| from foxhound.theano_utils import floatX, sharedX |
Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link
###Installation
lspci | grep -i nvidia(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.