Handwritten Digit Recognition Using TensorFlow Lite Micro on i.MX RT devices

The MNIST eIQ example consists of several parts. The digit recognition is performed by a TensorFlow Lite model, with an architecture similar to LeNet-5 (LeCun, LeNet-5, convolutional neural networks, 2019), which was converted from the TensorFlow implementation released by Google. The GUI was created in Embedded Wizard Studio and uses the Embedded Wizard library. The model allocation, input, and output processing and inference are handled by the SDK and custom code written specifically for the example.