Design and Implementation of Deep Neural Networks
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This brochure introduces VPItoolkit ML Framework for machine learning within the VPIphotonics Design Suite. It provides a Python-based deep neural network, support for custom algorithms, and tools for collecting training data, adjusting hyperparameters, and handling digital, electrical, and optical signals. HDF5 storage accommodates large, complex datasets, while hybrid DSP and machine learning simulations support optical equalization, fiber nonlinearity compensation, device characterization, inverse design, and system performance monitoring.
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