This lecture will introduce how to use Intel's tools to implement deep learning derivation and task acceleration on FPGA. We will also discuss deep learning task derivation and toolkits - providing a unified interface when deploying derivation tasks for different Intel product architectures, different frameworks, and different network architectures. And how the deep learning architecture FPGA kit combines the function calls of the deployment toolkit with the FPGA device.
Total of 1 lessons25 minutes and 25 seconds