Photonic brain-inspired platforms are emerging as novel analog computing devices, enabling fast and energy-efficient operations for machine learning. These artificial neural networks generally require tailored optical elements, such integrated photonic circuits, engineered diffractive layers, nanophotonic materials, or time-delay schemes, which challenging to train stabilize. Here, we present a...