added Neural Network as alternative for TensorFlow Lite for Microcontrollers #32
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cdknorow
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| @@ -848,6 +865,22 @@ | |||
| automl_available: False | |||
| model: library.transform | |||
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| - fields: | |||
| def neural_network(): | ||
| """ | ||
| The Neural Network uses Tensorflow Lite for Microcontrollers, an inference engine | ||
| from Google optimized run machine learning models on embedded devices. |
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update this text to be more generic. This is strictly for training. The inference engine can be deployed to NNoM or TFliteMicro
| @@ -233,6 +232,9 @@ def create_sml_classification_result_info(self, models_data): | |||
| model_fill["TensorFlow Lite for Microcontrollers"] = ( | |||
| "{\n\ttf_micro_model_results_object(kb_models[model_index].classifier_id, (model_results_t *)model_results);\n}" | |||
| ) | |||
| model_fill["Neural Network"] = ( | |||
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This needs an if statement that switchest between the two based on the inference engine selected
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