Tensorflow Lite, Edge Computing, Model Quantization, Energy Disaggregation.
smaller model size compared to the full floating-point model while maintaining a good balance between accuracy and performance. Usage Scenario: Ideal when the primary goal is to reduce the model size without a significant loss in accuracy. Code Snippet: if self.quant_mode == 'w8':