javierlorenzod

In this article, I will share some of my experience on installing NVIDIA driver and CUDA on Linux OS. Here I mainly use Ubuntu as example. Comments for CentOS/Fedora are also provided as much as I can.

Table of Contents

• Install NVIDIA Graphics Driver via apt-get
• Install NVIDIA Graphics Driver via runfile
  • Remove Previous Installations (Important)
  • Download the Driver
  • Install Dependencies
  • Creat Blacklist for Nouveau Driver

• Stop lightdm/gdm/kdm

javierlorenzod

Setting up OpenCV with Cmake GUI

1. Download OpenCV and Cmake
2. Build opencv with cmake

• Press configure, choose visual studio 2015, finish
• Then press generate

3. Open OpenCV.sln under build/
4. Build it using Debug, Release
   

javierlorenzod

git tag -am "annotation goes here" tagname_goes_here # cut a tag
git tag -d tagname_goes_here                         # burn it
git tag -am "annotation goes here" tagname_goes_here # cut another tag
git push --tags                                      # push tags to remote
git push origin :refs/tags/tagname_goes_here         # delete tag from remote

javierlorenzod

git tag -am "annotation goes here" tagname_goes_here # cut a tag
git tag -d tagname_goes_here                         # burn it
git tag -am "annotation goes here" tagname_goes_here # cut another tag
git push --tags                                      # push tags to remote
git push origin :refs/tags/tagname_goes_here         # delete tag from remote

javierlorenzod

Ubuntu 15.10 have been released for a couple of days. It is a bleeding-edge system coming with Linux kernel 4.2 and GCC 5. However, compiling and running Caffe on this new system is no longer as smooth as on earlier versions. I have done some research related to this issue and finally find a way out. I summarize it here in this short tutorial and I hope more people and enjoy this new system without breaking their works.

Install NVIDIA Driver

The latest NVIDIA driver is officially included in Ubuntu 15.10 repositories. One can install it directly via apt-get.

sudo apt-get install nvidia-352-updates nvidia-modprobe

The nvidia-modprobe utility is used to load NVIDIA kernel modules and create NVIDIA character device files automatically everytime your machine boots up.

Reboot your machine and verify everything works by issuing nvidia-smi or running deviceQuery in CUDA samples.

javierlorenzod

#!/bin/bash
#####################################################
# Name: Bash CheatSheet for Mac OSX
# 
# A little overlook of the Bash basics
#
# Usage:
#
# Author: J. Le Coupanec
# Date: 2014/11/04

javierlorenzod

javierlorenzod

# Time Series Testing 
import keras.callbacks
from keras.models import Sequential  
from keras.layers.core import Dense, Activation, Dense, Dropout
from keras.layers.recurrent import LSTM

# Call back to capture losses 
class LossHistory(keras.callbacks.Callback):
    def on_train_begin(self, logs={}):
        self.losses = []

javierlorenzod

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)