Skip to content
This repository was archived by the owner on Jul 22, 2024. It is now read-only.

A Getting Started Tutorial to get you quick-started on using the IBM Watson Studio DLaaS (Deep Learning as a Service) via the Command Line Interface (CLI). Covers basic pre-requisites, creating a Machine Learning Instance, Cloud Object Storage, etc. and a simple demo.

License

Notifications You must be signed in to change notification settings

IBM/DLaaS-Getting-StartedTutorial

Repository files navigation

DLaaS Getting Started Tutorial

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

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

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

About

A Getting Started Tutorial to get you quick-started on using the IBM Watson Studio DLaaS (Deep Learning as a Service) via the Command Line Interface (CLI). Covers basic pre-requisites, creating a Machine Learning Instance, Cloud Object Storage, etc. and a simple demo.

Resources

License

Security policy

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 5

Languages