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SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

4 mentions on Hacker News by 4 people: 1 story, 3 comments · first 2016-02-25 · latest 2017-10-04

Mentions per year 4 mentions · busiest year 2017 (3)
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  1. It's working great because they're using a state of the art model (SqueezeNet https://github.com/DeepScale/SqueezeNet ) and also the samples / experiments you do are often only on yourself, in the same lighting, same clothes, etc. So it…
    comment by makmanalp · 2017-10-04 · in Teachable Machine: Teach a machine using your camera, live in the browser
  2. We're using SqueezeNet ( https://github.com/DeepScale/SqueezeNet ), which is similar to Inception (trained on the same ImageNet dataset) but is much smaller - 5MB instead of inception's 100MB - and inference is much much quicker. The…
    comment by nsthorat · 2017-10-04 · in Teachable Machine: Teach a machine using your camera, live in the browser
  3. You might be interested in SqueezeNet - https://github.com/DeepScale/SqueezeNet , I imagine this would run quite fast even on the Raspberry Pi.
    comment by protomok · 2017-04-30 · in BerryNet – Deep Learning Gateway on Raspberry Pi
  4. ▲ 1
    SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and
    story by ratneshmadaan · 2016-02-25 · 0 comments