google-cloud-dl

Deep Learning setup on Google Cloud

Getting Started

These instructions will help you run deeplearning applications on Theano using Keras.

Prerequisites

Should have Google Clould account

Setup

• Create a new project

  Click on the three dots shown in the image below and then click on the + sign to create a new project.

• Create a VM instance

  Click on the three lines on the upper left corner, then on the compute option, click on ‘Compute Engine’ Now click on ‘Create new instance’. Name your instance, select zone as ‘ us-west1-b’. Choose your ‘machine type’. (I chose 8v CPUs).

  Select your boot disk as ‘Ubuntu 16.04 LTS’. Under the firewall options tick both ‘http’ and ‘https’ (very important). Then, choose the disk tab and untick ‘ Delete boot disk when instance is deleted’. If you click on ‘customize’, you will be able to find options for using GPUs. You can choose between 2 NVIDIA GPUs. Check both "Allow HTTP traffic" and "Allow HTTPS traffic"

  Now click on ‘Create’

• Make external IP address as static

  By default, the external IP address is dynamic and we need to make it static to make our life easier. Click on the three horizontal lines on top left and then under networking, click on VPC network and then External IP addresses.

• Change the Firewall setting

  Now, click on the ‘Firewall rules’ setting under Networking. Under protocols and ports you can choose any port. I have chosen tcp:5000 as my port number. Now click on the save button.

• Start your VM instance

  Now start your VM instance. When you see the green tick click on SSH. This will open a command window and now you are inside the VM.

• Finally run the script "gcp-setup.sh" and you are good to go.

NOTE: If python not running on Anaconda,try :

export PATH=~/anaconda2/bin:$PATH