A virtual machine Deep-learning-ready for the LSTM workshop
- Install VirtualBox
- Install Vagrant
- If you have Git, clone this repository. Otherwise download the content as a ZIP archive and unpack it somewhere.
- Open a command line interface/shell (PowerShell or Cmd on Windows, Terminal on Mac, your favourite terminal emulator on Linux)
- Change directory to the location of this repository's files.
vagrant up --provisionthe first time you start up the VM. Use just
vagrant upfor subsequent calls.
- Get some coffee, eat a sandwich or surf the web or something, this will take about 10 minutes depending on your internet connection and computer.
vagrant sshto log onto the VM from the shell.
- Inside the box, run
./run_jupyter.shto start the jupyter notebook server.
- Open your browser at http://localhost:8888 and log in with password
- When you want to stop the VM, use
Ctrl+cto stop the server, then
exitto leave the ssh session, and
vagrant haltto stop the VM.
The VM has 2 GiB of RAM by default. If you want to increase performance, you may increase the
v.memory in [Vagrantfile] to about half of what you have on your system. DO NOT SET THIS HIGHER THAN 75% OF YOUR SYSTEM'S RAM.
The VM has 2 cores by default. If you want to increase performance, you may increase the
v.cpus in [Vagrantfile] to half of the number of logical cores on your system. DO NOT SET THIS HIGHER THAN HALF THE NUMBER OF LOGICAL CORES ON YOUR SYSTEM.