- Now that you have a project, the next step is to create an experiment. Go to
Projectstab and select the project that you had created from the dropdown. Once in the project page, you should be able to see various tabs includingOverview,Assetsand so on. Select theAssetstab and go to theExperimentssection towards the bottom of the page and click onNew Experiment.
2.In order for you to create an instance, you will need to create a Watson Machine Learning instance as well. IBM WML is a comprehenive solution that is your gateway to various machine and deep learning technologies.
3.If you have existing Waton Machine Learning instance then you should be able to click on the Reload button and associate that account and skip step 4.
4a.If not, click on the Associate a Machine Learning service instance link and follow the steps to create an instance.
4b. Select the Lite plan and click on create. Once created close the new tab that had opened up and come back to the experiment assistant
5.You should be able to click on the Reload button for the Machine Learning instance and your instance for Machine Learning should show up for selection.
6.Next step is to hook the cloud object storage instance that you had created in the last step. Click on Select button for Cloud Object Storage bucket for storing training source and results files and you will be redirected to a page asking you to connect your cloud object storage account with the experiment.
7.Click on the tab that says New connection and select the cloud object storage instance that you had created earlier.8.
8.You will need a training/data bucket to hold your training data and a results bucket to hold your results.
9.Select the New radio button for creating Bucket containing training data and Bucket for storing training results.
** NOTE: Bucket name is restricted to lowercase letters from a to z, numbers, or dashes, between 3 and 64 characters in length.**
10.The bucket names are globally unique, so be careful in picking up names for your train/results bucket. You can add a suffix of your username to make them unique.
11.This will create the test and training buckets for you and will show you links to the buckets. On the left panel, look for Cloud Object Storage buckets for storing training source and results files
12.Click on the link to the source bucket (it has a small icon with a window) and it will open a new tab.
- You will need to upload the training dataset for CIFAR-10 to the source bucket. You can find the dataset here and drag and drop these files to the source bucket.
- Close the tab once you have the data uploaded and come back to the IBM Watson Studio tab.
- Next step it to go ahead and create a training definition which will be used to specify details about your training. Follow the instructions here