Blog posts

The latest on Masterful and tips on Machine Learning

Posts by

Nikhil Gajendrakumar

Machine Learning Engineer and Researcher, Masterful AI

Tackling a real-world CV problem with Masterful AI

Image of Nikhil Gajendrakumar
Nikhil Gajendrakumar

Deep learning has opened the door to tackling many real-world computer vision problems. But building and deploying Deep Learning models has always been a tedious task of labeling the entire dataset, finding the right hyperparameters, determining a data augmentation policy, and then deploying the model.

Masterful makes building and deploying Deep Learning models orders of magnitude easier. All you need to get started is to label a small fraction of your image data. Masterful’s meta-learner finds the optimal hyperparameters, augmentation policy, and trains the model both on labeled and unlabeled data. 

In this post, we’ll show how easy it is to solve a real-world computer vision problem using Masterful.

Read more

Hyperparameters that can save your AWS bills

Image of Nikhil Gajendrakumar
Nikhil Gajendrakumar

       

Read more

Stop burning money on the wrong batch size

Image of Nikhil Gajendrakumar
Nikhil Gajendrakumar

Once your training runs become material in terms of wall-clock time and hardware budget, it's time to look at improving your batch size. If your batch size is too small, your training runs are taking longer than necessary and you are wasting money. And if your batch size is too large, you are training with more expensive hardware than you need.

Read more