AN 1011: TinyML Applications in Altera FPGAs Using LiteRT for Microcontrollers
ID
848984
Date
9/29/2025
Public
1. Overview
2. Preparing LiteRT Inference Model
3. Generating Nios® V Processor System
4. Generating Arm Processor System
5. Programming and Running
6. Nios® V Processor with TinyML Design Example
7. Appendix
8. Document Revision History for the AN 1011: TinyML Applications in Altera FPGAs Using LiteRT for Microcontrollers
2.3.4. Evaluating the Model
Assess the model's performance on the test set to estimate how well it generalizes to unseen data.
# Evaluate Accuracy of the Model loss ,acc= model.evaluate(x_test, y_test) print('Accuracy : ', acc)
Figure 5. Classification Accuracy of TensorFlow Model on Test Dataset