CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research shows how to create a PyTorch image classification ...

Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two ...

端到端流程：PyTorch模型的RISC-V适配实践 针对PyTorch模型的部署挑战，SiFive提出了一套完整的迁移方案。 陈彦蓁以开源的BEVFormer感知模型为例，说明如何通过ONNX格式转换、IREE编译工具链优化及自定义算子注册，将模型适配至RISC-V平台。