Forewords These pages are written in markdown format and generated with the pandoc. The stylesheet has been generated from w3schools and the codes are highlighted thanks to pygment. The transformation from pandoc markdown to html is done with a Makefile and is using these template files. Below are some elements on how to install the required libraries to work on your own machine. On ubuntu 18.04, for the pytorch tutorials, it is as simple as: On ubuntu 18.04, for the Keras tutorial, it is as simple as:

How to setup TensorFlow on Ubuntu - This tutorial will help you set up TensorFlow 1.12 on Ubuntu 16.04 with a GPU using Docker and nvidia-docker. TensorFlow is one of the most popular deep-learning libraries. It was created by Google and was released as an open-source project in 2015. TensorFlow is used for both research and production environments. Installing TensorFlow can be cumbersome. The difficulty varies based on your environment constraints, and more when you're a data scientist that just wants to build your neural networks.

I have come across many developers who face serious issues when it comes to installing tensorflow on a linux distro such as Ubuntu. There are very few instances when the installation goes smoothly the first time itself. Mostly, the developer has to face a plethora of error messages which get quite tricky to solve. Let's make things easier and lives simpler: Using Docker containers the life of a developer becomes easier by a massive amount. Many developers shy away from using docker containers thinking that it introduces extra dependencies into the system followed by maintenance issues, but that's a misconception.

Right above variable importance, there is a menu of actions you can choose from. The only option unavailable on the screen is Deploy.

In this tutorial you will learn how to install OpenCV 4 on your Ubuntu system. OpenCV 4 has not been officially released yet; however, a release is expected in autumn 2018. In the meantime, we can compile and install OpenCV 4 from source using the pre-release on GitHub. Once OpenCV 4 is officially released I will update this blog post as well. So, why bother installing OpenCV 4? You may want to consider installing OpenCV 4 for further optimizations, C 11 support, more compact modules, and many improvements to the Deep Neural Network (DNN) module.

This is my jubilee article. In almost 7 years I have written 10 articles (including this one), 8 of them -- technical. The total number of views of all articles is about half a million. I have made the main contribution into two topics: PHP and Server Administration. I like to work at the junction of these two areas, but the scope of my interests is much broader.

While I'm not an expert, I wanted to detail what I did to get tensorflow-gpu working with my fresh Ubuntu 18.04 LTS install. NVIDIA doesn't have any official downloads for Ubuntu 18.04 yet, but you can get things to work with the available files for Ubuntu 17.04. The first thing you should check is that you have an Nvidia driver installed for your graphics card. Your graphics card must support at least Nvidia compute 3.0 to install tensorflow-gpu. You can check what graphics driver you have installed with thenvidia-smicommand.