This configuration worked for me, hope it helps
It is based on: https://becominghuman.ai/deep-learning-gaming-build-with-nvidia-titan-xp-and-macbook-pro-with-thunderbolt2-5ceee7167f8b
and on: https://stackoverflow.com/questions/44744737/tensorflow-mac-os-gpu-support
#Steps to install latest Laravel, LEMP on AWS Ubuntu 16.4 version. This tutorial is the improvised verision of this tutorial on Digitalocean based on my experience.
Run the following commands in sequence.
sudo apt-get install -y language-pack-en-base
sudo LC_ALL=en_US.UTF-8 add-apt-repository ppa:ondrej/php
sudo apt-get update
sudo apt-get install zip unzip
(Codecs are extracted from https://web.archive.org/web/20120722124832/http://opencv.willowgarage.com/wiki/QuickTimeCodecs )
(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.
The final solution !!
Since the first version of pthreads, PHP has had the ability to initialize Worker threads for users. Onto those Worker threads are stacked objects of class Stackable for execution concurrently.
The objects stacked onto workers do not have their reference counts changed, pthreads forces the user to maintain the reference counts in userland, for the extremely good reason that this enables the programmer to keep control of memory usage; and so, execute indefinitely.
This is the cause of much heartache for newcomers to pthreads; if you do not maintain references properly you will, definitely, experience segmentation faults.
| # install git | |
| sudo apt-get install g++ curl libssl-dev apache2-utils | |
| sudo apt-get install git-core | |
| # download the Node source, compile and install it | |
| git clone https://github.com/joyent/node.git | |
| cd node | |
| ./configure | |
| make | |
| sudo make install | |
| # install the Node package manager for later use |