I want to regression a signal. It's NN, not necessarily, sine wave. What kind of numbers of harmonic simultaneous sounds are we looking at? How close to an A 440 can a human make?
I want recognition to alert me. As a sine wave is coming in: >>> for t in [ ( 200* sin( x*2 ), 200* cos( x*2 ) ) for x in range( 10 ) ]: >>> print( *t ) ... 0.0 200.0 181.859485365 -83.2293673094 -151.360499062 -130.728724173 -55.8830996398 192.03405733 197.871649325 -29.1000067617 -108.804222178 -167.814305815 -107.3145836 168.770791746 198.121471139 27.3474436416 -57.580663333 -191.531896065 -150.197449354 132.063341649 I want new feature characteristics to chain events. Circuits on -not- affected- external nodes can decouple clock tick. Realistically, the human brain uses a layer of several tens before anything is recognizable (sure, this photoreceptor says red all the time). Bring us the process of focus: Think mushroom clouds. Some of the smoke cycles back to redirection newcome particles, formed later in the blast. Program some of the ops. I feel like I'm asking if all the senses stream in paralell. Thing about rivers is, their current runs downstream: which does echo the process of muscle control: multiple brain pathways combine at confluences to generate a river: one muscle fiber microbundle (non contiguous, but that was later evolution). (Finely articulate ionic grades in three dimensions.) Input is other. It's still downstream for inputs, but the waves overlap at the 'deltas' with an chemoelectric interference pattern in either brain or spine, and have to agree on something (saw red, saw temperature, felt pressure). Those, by the way, are triggered by molecule discharge on the scale of 1,000s of atoms: C1814H2725N423O477S25. Recharge takes an electron. (Get one!) Humans: big brains. In brains we have a dynamic structure: you don't ever 'notice' things per se; they just reorganize brain (in particular trigger growth-- they decay themselves). Given intermodality (say, verbo-tactile?), varying circuit length (shortest and longest paths from a peripheral sensory cell to a motor cell (somewhen the name), cumulative depth (length) of iteration (generation) at which concepts form (Sartorius muscle direct stimulation), and correlate factor length of concept, children learn words based on exposure time (snooty kids know 'entrepreneur' (a between taker by the way, and 'revenue' come in again)) and varieties of thingsthatleduptoit: things that led up to it. The deeper concepts don't even motivate you to move, hardly even the tongue. You could do a lot of refining on your electric-medium perceptions: no boring stuff, no watered down, spam making, spam fighting, though with a few extra generations of hardware. Did everyone take the course on computer architecture? -- http://mail.python.org/mailman/listinfo/python-list
