When creating an impulse to solve an image classification problem, you will most likely want to use transfer learning. This is particularly true when working with a relatively small dataset. Transfer learning is the process of taking features learned from one problem and leveraging it on a new but related problem. Most of the time these features are learned from large scale datasets with common objects hence making it faster & more accurate to tune and adapt to new tasks. To choose transfer learning as your learning block, go to create impulse and click on Add a Learning Block, and select Transfer Learning.

Impulse setup for image classification.

To choose your preferred pre-trained network, go to Transfer learning on the left side of your screen and click choose a different model. A pop up will appear on your screen with a list of models to choose from.

Choose a different transfer learning model.

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Models

Edge Impulse uses state of the art architectures available for you to train or fine-tune for your specific application.

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Neural Network settings

See Neural Network Settings on the Learning Block page.

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Expert mode

See Expert mode on the Learning Block page. The preset configurations just don’t work for your model? No worries, Expert Mode is for you! Expert Mode gives you full control of your model so that you can configure it however you want. To enable the expert mode, just click on the ”⋮” button and toggle the expert mode.

Expert mode.

You can use the expert mode to change your loss function, optimizer, print your model architecture and even set an early stopping callback to prevent overfitting your model. See the examples: