MetaTF is BrainChip's machine learning framework for developing systems on the Akida neural processor. Designed to aid in creating, training, and testing neural networks, MetaTF integrates seamlessly with TensorFlow models. Its key feature is the ability to convert CNN models to Spiking Neural Networks (SNN), facilitating low-latency, low-power operations suited for edge environments. By utilizing Python scripting and tools, MetaTF simplifies model conversion and optimization, delivering automatic CNN to SNN transitions without needing to learn new frameworks. MetaTF also includes various development tools, encompassing runtime simulation and robust testing environments.
