In this install note, I will discuss how to compile and install from source a GPU accelerated instance of tensorflow in Ubuntu 18.04. Tensorflow is a deep-learning framework developed by Google. It has become an industry standard tool for both deep-learning research and production grade application development. Step 0 — Basic house-keeping: Before starting the… Continue reading Install notes — Tensorflow in Ubuntu 18.04 LTS with Nvidia CUDA
Recently, I received a Raspberry Pi to play with, from a good friend of mine. One of the projects I am working on is to deploy artificial intelligence applications in low powered devices. Raspberry Pi seemed to be a great platform to experiment with. But, I ran into a lot of interesting issues. I will… Continue reading Raspberry Pi — How to reformat a bootable SD card.
We recently developed an incredible machine learning workstation. It was born out of necessity, when we were developing image recognition algorithms for cancer detection. The idea was so incredibly powerful, that we decided to market it as a product to help developers in implementing artificial intelligence tools. During this launch process, I came across an interesting article… Continue reading Hardware for artificial intelligence – My wishlist.
In a previous post I discussed how easy it was to setup machine learning libraries in python using virtual machines (vm) hosted in the cloud. Today, I am going to add more details to it. This post covers how to make machine learning code run faster. This post will help any user compile a tensorflow… Continue reading Fine tuning the cloud – Making machines learn faster.
These are my installation notes for OpenCV in Ubuntu 17.04 linux for python3. These notes will help start a computer vision project from scratch. OpenCV is one of the most widely used libraries for image recognition tasks. The first step is to fire-up the linux terminal and type in the following lines of commands. These first… Continue reading Installation notes – OpenCV in Python 3 and Ubuntu 17.04.
A few weeks back I talked about various open operating systems to efficiently run some of the deep learning and simulation models. I switched back and forth between six different flavors of linux to finally settle with one. This experimentation phase is helpful in the long-run. But, for folks who want to run one particular… Continue reading Virtualization – Matryoshka dolls of computing.