Vitis AI Development Getting Started with Vitis AI: ResNet-18 End-to-End Flow Introduction The Vitis AI toolchain supports compiling and deploying AI models in the ONNX format for efficient execution ...
This tutorial demonstrates how to perform INT8 quantization with AMD Quark and how to deploy the resulting INT8 model on the AMD Versal AI Edge Series Gen 2 VEK385 Evaluation Kit using the Vitis AI ...
Abstract: A residual network (ResNet)-18-based model for the online interturn short-circuit (ITSC) fault diagnosis of permanent magnet synchronous machines (PMSMs) widely employed in traction systems ...
Abstract: Objective: To develop an objective and efficient method to automatically identify Parkinson’s disease (PD) and healthy control (HC). Methods: We design a novel model based on residual ...
This course is designed for Ph.D. students whose primary field of study is machine learning, or who intend to make machine learning methodological research a main focus of their thesis. It will give ...
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