This post is part 2 in the series on Google Cloud AutoML Vision Edge. In the previous post, we saw how we can train an edge-ready TensorFlow Lite model with AutoML, from scratch. TFLite models take up less storage space but also are a bit less accurate in comparison with a TF SavedModel format.
Continue reading AutoML Vision Edge: Exporting and Loading TensorFlow SavedModels with Python