Published inTDS ArchiveToward Defining AutoML for Deep LearningAutoML is a relatively new and exciting concept in the machine learning arena. The term AutoML sounds straightforward: automating the…Apr 13, 2021Apr 13, 2021
Published inTDS ArchiveThe Deep Learning Inference Acceleration Blog Series — Part 2- HardwareOriginally posted at https://deci.ai/resources/#blogFeb 16, 2021Feb 16, 2021
Published inTDS ArchiveThe Deep Learning Inference Acceleration Blog Series — Part 1: IntroductionThis post was originally published in Deci’s blogDec 16, 2020Dec 16, 2020
Learn how Deci and Intel hit 11.8x acceleration at MLPerfOriginally posted at https://deci.ai/how-deci-and-intel-hit-11-8x-inference-acceleration-at-mlperf/Nov 10, 2020Nov 10, 2020
Published inTDS ArchiveThe Correct Way to Measure Inference Time of Deep Neural NetworksThe network latency is one of the more crucial aspects of deploying a deep network into a production environmentMay 5, 20202May 5, 20202
Published inTDS ArchiveAre all FLOPs created equal? A comparison of FLOPs vs run-timeOriginally posted on https://deci.ai/are-all-flops-created-equal-a-comparison-of-flops-vs-run-time/Apr 26, 2020Apr 26, 2020
Published inTDS ArchiveEfficient Inference in Deep Learning — Where is the Problem?10 min readApr 2, 20201Apr 2, 20201
