Amnon GeifmaninTowards Data ScienceToward Defining AutoML for Deep LearningAutoML is a relatively new and exciting concept in the machine learning arena. The term AutoML sounds straightforward: automating the…10 min read·Apr 13, 2021----
Amnon GeifmaninTowards Data ScienceThe Deep Learning Inference Acceleration Blog Series — Part 2- HardwareOriginally posted at https://deci.ai/resources/#blog7 min read·Feb 16, 2021----
Amnon GeifmaninTowards Data ScienceThe Deep Learning Inference Acceleration Blog Series — Part 1: IntroductionThis post was originally published in Deci’s blog7 min read·Dec 16, 2020----
Amnon GeifmanLearn 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/5 min read·Nov 10, 2020----
Amnon GeifmaninTowards Data ScienceThe 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 environment8 min read·May 5, 2020--2--2
Amnon GeifmaninTowards Data ScienceAre 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/7 min read·Apr 26, 2020----
Amnon GeifmaninTowards Data ScienceEfficient Inference in Deep Learning — Where is the Problem?10 min read6 min read·Apr 2, 2020--1--1