Setup DIGITS (Deep Learning GPU Training System) on Ubuntu 16.04

DIGITS (the Deep Learning GPU Training System) is a webapp for training deep learning models. The currently supported frameworks are: Caffe, Torch, and Tensorflow. Since DIGITS itself is a pure Python project, installation is usually pretty trivial regardless of the platform. The difficulty comes from installing all the required dependencies for Caffe and/or Torch7 and... Continue Reading →

Installing Caffe/NVcaffe on Ubuntu 16.04 with CUDA8, cuDNN, OpenCV and FFMPEG (NVENC SDK)

Before following these steps make sure you have already installed Nvidia drivers and Cuda Toolkit 8 make sure everything is updated to the latest version: sudo apt-get update sudo apt-get upgrade  let’s install all the necessary packages: sudo apt-get install build-essential make cmake cmake-curses-gui g++ tmux git pkg-config libjpeg8-dev \ libjasper-dev libpng12-dev libglew1.6-dev libgtk2.0-dev \ libavcodec-dev libavformat-dev libavutil-dev libswscale-dev libv4l-dev gfortran sudo apt-get install libtiff5-dev   # allows for easy install/uninstall of packages from source sudo apt-get install -y checkinstall We need a library for computing optimization purpose. We will use openblas and linear algebra library. sudo apt-get -y install libblas-dev libopenblas-dev libatlas-base-dev liblapack-dev gfortran Now to install boost, run: sudo apt-get install libboost-all-dev If later in the installation process you find that any of the boost related files are missing, run the following command. You can skip this one for now but won't hurt if you do it either. sudo apt-get -y install --fix-missing libboost-all-dev Go ahead and install libfaac-dev package sudo apt-get install libfaac-dev... Continue Reading →

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