SYSTEM AND METHOD FOR DESIGNING MACHINE AND DEEP LEARNING MODELS FOR AN EMBEDDED PLATFORM

摘要

A system for designing machine and deep learning models for an embedded platform is disclosed. The system includes a storage subsystem configured to store a plurality of datasets, one or more augmented datasets, a plurality of models and one or more frameworks. The storage subsystem includes a database module and a proposal module. The system also includes a code generation subsystem operatively coupled to the storage subsystem. The code generation subsystem is configured to generate a code in a predefined computer language for a selected model. The system also includes an implementation subsystem operatively coupled to the code generation subsystem. The implementation subsystem is configured to generate one or more test cases and one or more use-cases to test the selected model based on a generated code.