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sC3DX

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sC3DX
·3 years ago·discuss
I don't think it's any cheaper. In the US (and I assume everywhere?) you need to buy separate tickets. Maybe you end up buying less snacks?
sC3DX
·3 years ago·discuss
audio spatialization has gotten really fancy in games. We can trick your eat into thinking sounds are coming from any direction with a combination of filters, delays, attenuations, etc. Of course it's not as good as the real thing but it is still very convincing (and certainly good enough to be competitive in CS these days).
sC3DX
·4 years ago·discuss
I usually try random codes with the following format: COMPANYNAME15, COMPANYNAME20, etc. Every once in a while (maybe 10% of the time?) I get lucky.
sC3DX
·4 years ago·discuss
Why is the type rating so expensive? I assume someone getting this rating already has all of the pre-req ratings. Do they need X hours in the jet and sims, and each of those hours is expensive?
sC3DX
·4 years ago·discuss
This looks fun. We played with a lot of csound and max/msp at school but I never made the jump to live coding audio. Now that I have more experience under my belt maybes it's time to revisit this!
sC3DX
·4 years ago·discuss
Stumbling upon the coding train a few years ago is the reason I'm an engineer today. Shiffman showed me how problem solving can be fun! I owe him a lot.
sC3DX
·4 years ago·discuss
Funny seeing the /r/livesound link.

Worked in live entertainment for a while. One cable we would use a lot is called a 'two-fer', it has one male and that splits to two female ends (so you can plug two fixtures into one outlet or dimmer). There also exists a 'suicide two-fer' that is the opposite, you can imagine why it has that name.

I believe I've also seen some 'suicide' cable setups when we needed to make multi-phase power for a motor controller by using different 120v sources. Can't remember the exact cabling of that but someone did end up grabbing a hot male end in that process and got a nice tickle.
sC3DX
·4 years ago·discuss
What you interact with as the user is the model and its weights.

The model (presumably some kind of convolutional neural network) has many layers, every layer has some set of nodes, and every node has a weight, which is just some coefficient. The weights are 'learned' during the model training where the model takes in the data you mention and evaluates the output. This typically happens on a super beefy computer and can take a long time for a model like this. As images are evaluated the output gets better the weights get adjusted accordingly.

Now we as the user just need the model and the weights!
sC3DX
·4 years ago·discuss
i think we are hugging the webserver to death