Tanmay Rane – Medium

Apr 16

Train your models faster on AWS: Storage Medium

This blog will give you an idea of how training speed🚀varies in accordance with the storage medium to store training/validation data. I believe the faster you complete experiments, the faster you can draw conclusions and get to desired results. Typically in delivery projects, most of the time can be spent…

AWS

4 min read

Train your models faster on AWS: Storage Medium

Published in AWS Tip

·Mar 1

Make RecordIO files for training on Amazon SageMaker

This blog will give you clarity on how to go from raw data to trainable data using two main methods supported by SageMaker Image Classification Algorithm(LST file and RecordIO file). This blog will be a short one! At this point anybody who has trained models before might ask why so…

AWS

4 min read

Make RecordIO files for training on Amazon SageMaker

Published in AWS Tip

·Feb 8

Sagemaker Processing Job and Distributed Data Processing

This blog will give you a very good idea of why the unsung hero of SageMaker toolbox ➡️SageMaker Data Processing Job is the ideal way to process large amounts of data. Now, when I say “large” amounts of data, I mean it is futile to start a data processing job…

AWS

5 min read

Process your data like a Pro! The story of SageMaker Processing Jobs