77 karma · joined July 8, 2011
Things I've ended up enjoying with it:
- Hum, whistle, and sing my favorite tunes and compare the images
- Take it on a nature walk and look at bird calls
- Try to make sounds to draw a specific picture or shape
How it works:
On load, the app requests microphone access, and connects that audio stream to a WebAudio AnalyzerNode. The AnalyzerNode offers a fast fourier transform that is called repeatedly using requestAnimationFrame. For each frame, the entire contents of the canvas are shifted left by 1 virtual pixel, and the current fourier frequency bins are plotted in the rightmost column.
Limitations:
- There are 1024 frequency bins, compared to roughly 20,000 hertz hearing range, so the resolution is pretty good but not perfect as each dot represents a range of ~20 hertz.
- Unfortunately doesn't work in iOS Firefox or Chrome; Apple won't offer microphone access via getUserMedia to 3rd party browsers.
- It has a PWA manifest; Android users should be able to add to homescreen. iOS users still can't since getUserMedia is restricted in iOS PWAs
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“One in four people in the US have searched for or found a job using Facebook” writes Facebook’s VP of Local Alex Himel.
Although it's important to point out that he wasn't psycho, and his preferences don't seem directly shaped by the treatment..
The numbers are interesting, but very misleading. It still doesn't answer whether it's statistically wise to invest in a single-founder company, or help a founder decide how many cofounders they should try to get onboard.
If the strongest conclusion possible here is "Hey there's still hope" then we didn't need all these charts for that sentiment.
For such a magic pill to exist would be wonderful and I'd love to have that option, but WALL-E as an example undermines your argument...
The 1 node case is especially interesting, because when it converges the single node must learn the whole spiral pattern. Although with noise it can be less reliable with more jagged edges, as well as take longer to converge (also bumped the learning rate down), seeing the spiral encoded directly in the 2nd hidden layer is more interesting to me.
http://playground.tensorflow.org/#activation=tanh&batchSize=...
Makes me think of one of my favorite stories: 'Understand' by Ted Chiang. In the story, brain-damaged people treated with an experimental drug gain superintelligence.
I think it's an important distinction to make, and underlines how companies ultimately serve their own self interest before anything else; they're not acting nobly, and the ultimate responsibility lies with the individual.