Lobe vs AWS DeepLens: What are the differences?

What is Lobe? Deep learning made simple. An easy-to-use visual tool that lets you build custom deep learning models, quickly train them, and ship them directly in your app without writing any code.

What is AWS DeepLens? Deep learning enabled video camera for developers. It helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.

Lobe and AWS DeepLens belong to "Machine Learning Tools" category of the tech stack.

Some of the features offered by Lobe are:

• Build - Drag in your training data and Lobe automatically builds you a custom deep learning model. Then refine your model by adjusting settings and connecting pre-trained building blocks.
• Train - Monitor training progress in real-time with interactive charts and test results that update live as your model improves. Cloud training lets you get results quickly, without slowing down your computer.
• Ship - Export your trained model to TensorFlow or CoreML and run it directly in your app on iOS and Android. Or use the easy-to-use Lobe Developer API and run your model remotely over the air.

On the other hand, AWS DeepLens provides the following key features:

• A new way to learn machine learning
• Custom built for deep learning
• Build custom models with Amazon SageMaker