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Gradient° vs Lamina: What are the differences?
Developers describe Gradient° as "Deep learning platform built for developers". Gradient° is a suite of tools for exploring data and training neural networks. Gradient° includes 1-click Jupyter notebooks, a powerful job runner, and a python module to run any code on a fully managed GPU cluster in the cloud. Gradient is also rolling out full support for Google's new TPUv2 accelerator to power even more newer workflows. On the other hand, Lamina is detailed as "Artificial Intelligence as an API đŸ¤–". Lamina helps you integrate Deep Learning models like Sentiment Analysis and Entity Extraction into your products with a simple API call. Relieving you of getting data, creating a model and training them which would be compute-intensive.
Gradient° and Lamina can be primarily classified as "Machine Learning as a Service" tools.