Epstein Secrets

t: Re: Date: Fri, 09 Mar 2018 16:33:27 +0000 What do you think of as space/field effects? The universe or learning? Btw., did you ever come across Schmidhuber's idea of a Goedel lachine? > On Mar 9, 2018, at 05:39, jeffrey E. <[email protected]> wrote: > I would think of it more of a space / field eff

out the functionality by themselves. Second order AI is automated function approximation. Learning has existed for a long time in AI of course, but Deep Learning means compositional function approximation. > Our current approximator paradigm is mostly the neural network, i.e. chained normalized weighted sums

r 9, 2018 at 5:33 PM, Joscha Bach < > wrote: What do you think of as space/field effects? The universe or learning? Btw., did you ever come across Schmidhuber's idea of a Goedel Machine? > On Mar 9, 2018, at 05:39, jeffrey E. <[email protected]> wrote: > I would think of it more of a space / field eff

out the functionality by themselves. Second order Al is automated function approximation. Learning has existed for a long time in AI of course, but Deep Learning means compositional function approximation. > Our current approximator paradigm is mostly the neural network, i.e. chained normalized weighted sums

2018 at 5:33 PM, Joscha Bach < > =rote: > What do you think of as space/field effects? The universe or learning? > Btw., did you ever come across Schmidhuber's idea of a Goedel Machine? > On Mar 9, 2018, at 05:39, jeffrey E. <[email protected]> wrote: > > » I would think of it more of a space / fiel

out the functionality by themselves. =econd order Al is automated function approximation. Learning has =xisted for a long time in Al of course, but Deep Learning means =ompositional function approximation. > Our current approximator paradigm is mostly the neural network, i.e. =hained normalized weighted sums

Mar 9, 2018 at 5:33 PM,=Joscha Bach > wrote: What do you think of as space/field effects? The univ=rse or earning. Btw., did you ever come across Schmidhuber's idea of a Goedel Machine?<=r> > On Mar 9, 2018, at 05:39, jeffrey E. <[email protected] <mailto:jeevacation=gmail.com» wrote: > I would think

out the functionality by themselves. Secon= order Al is automated function approximation. Learning has existed for a =ong time in Al of course, but Deep Learning means compositional function a=proximation. > Our current approximator paradigm is mostly the neural network, i.e. c=ained normalized weighted sums