TensorFlow Lite reference models
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This page lists a number of reference neural networks generated using Edge Impulse. These can be used by silicon vendors to test the integration of common models that our users use with their neural network compilers or inferencing engines. Every model contains the TensorFlow SavedModel, a float32 tflite file, and two int8 tflite files - both with i8 and f32 inputs and outputs.
- a small fully connected network (33x40x20x10x4) built according to the tutorial.
- a convolutional neural network with two conv1d layers built according to the tutorial.
- a MobileNet v2 based model, built according to the tutorial.
All reference models are - like all code that is generated using Edge Impulse - licensed under the .