Part 2: Deep Learning FPGA Acceleration with Python - 'Inference'
Overview In this we develop out our hardware acceleration library to handle inference for a MLP neural network using the Fisher Iris dataset.
Read MoreI’m Dominik and this is my personal website. I will be talking about various topics including: machine learning, startups and other technology topics.
know moreOverview In this we develop out our hardware acceleration library to handle inference for a MLP neural network using the Fisher Iris dataset.
Read MoreOverview This is a project aimed at building custom per-model hardware accelerators for machine learning systems to reduce overall time and power cost in inference and training.
Read MoreOverview This is part two of a two-part blog series. If you haven’t read part 1, I reccomend you do so first to get caught up to this point.
Read More