ATtiny85 MNIST RNN EEPROM
This project implements a Recurrent Neural Network (RNN) on an ATtiny85 microcontroller to perform MNIST digit recognition with approximately 95% accuracy. It utilizes the device's internal 512-byte EEPROM to store quantized model weights and biases, enabling deep learning inference on a highly resource-constrained 8-bit platform.