Mohamed Naassi retweetledi
Mohamed Naassi
8 posts


@eazhary Making everything cloud-backed and instantly restorable is a big life improvement in any framework. Also a big life improvement: if you're a Keras user you'll probably use Keras 90% of the time and TF 10% of the time.
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Keras tip: if you're training models in unreliable environments like spot instances (or for long stretches of time), make sure to use the BackupAndRestore callback to be able to resume training where you left off, in just a couple of lines of configuration tensorflow.org/api_docs/pytho…
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@ian_mallett hi sir , i'm a begginer in ray tracing i don't know how to start programming a ray tracer on simple sphere i wanna help please ?
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One thing I absolutely do not want to get lost:
If you've got basic raytracing knowledge and want to learn spectral rendering, check out our sample renderer! It's intended for teaching purposes—simple, commented to death, and algorithmically sensible.
github.com/imallett/simpl…

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Preprint + supplemental is up for our @EGSympRendering paper
"Spectral Primary Decomposition for Rendering with sRGB Reflectance":
geometrian.com/research/index…
Spectral reflectance for any sRGB triple without any colorimetric error!
(E.g. for using RGB assets in spectral renderers.)

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