lanaelsanyoura / dlaas-getting-startedtutorial

This repo is for the IBM MIT AI Lab to use DLaaS in IBM Watson Studio. The demo will use Pytorch to train VGG for CIFAR10. The code is forked from kuangliu (https://github.com/kuangliu/pytorch-cifar) and adapted for submitting the model to IBM Watson Machine Learning on Watson Studio for training. It is meant to get you quick-started. We hope you have some fun running your first models in IBM Cloud

MITIBMCloud

Note: These steps use a Command Line Interface (CLI). There is an alternative browser used interface

Steps for one time Setup:

Step 0. Pre requisites

Step 1. Login to your bluemix account

Step 2. Create a Watson ML Instance

2.1 Setup a Watson ML Instance : Create WML Access key  
2.2 Set up Environment variables

Step 3. Define a Cloud Object Storage Instance to store your data.

3.1. Create a cloud storage instance
3.2. Get security credentials
3.3 Create and configure your aws profile
3.4. Create an alias
3.5. Create a bucket

You can find the one time setup instructions HERE

Steps for the Demo:

0: Get a dataset

1: Upload your dataset to the bucket

2: Edit your manifest file

2.1. Copy the template manifest

2.2. Edit the configuration file

3: Send code to run on Watson Studio!

3.1. Zip all the code and models into a .zip file

3.2. Send your code and manifest to IBM Watson Studio

4: Monitor the training

You can find the Steps for Demo HERE

Click HERE for Other useful commands