neural network architectures. which one are you. tag yourself. - Printable Version +- Eagle Time (https://eagle-time.org) +-- Forum: Archive (https://eagle-time.org/forumdisplay.php?fid=25) +--- Forum: BAWK BAWK (https://eagle-time.org/forumdisplay.php?fid=34) +---- Forum: Hawkspace (https://eagle-time.org/forumdisplay.php?fid=35) +---- Thread: neural network architectures. which one are you. tag yourself. (/showthread.php?tid=2027)

neural network architectures. which one are you. tag yourself. - Kaynato - 11-27-2016 RE: neural network architectures. which one are you. tag yourself. - a52 - 11-27-2016 I'm more of a NEAT than anything, but if I had to choose I'd go with an LSTM with its weights attached to a parameter updater. RE: neural network architectures. which one are you. tag yourself. - OTTO - 11-28-2016 You must be registered to view this content. RE: neural network architectures. which one are you. tag yourself. - OTTO - 11-28-2016 You must be registered to view this content. RE: neural network architectures. which one are you. tag yourself. - a52 - 11-28-2016 It is a very Kaynato question. RE: neural network architectures. which one are you. tag yourself. - OrangeAipom - 11-29-2016 https://twitter.com/ncasenmare/status/801865769856462848 i can't read this RE: neural network architectures. which one are you. tag yourself. - OrangeAipom - 11-29-2016 say that in public not to my face RE: neural network architectures. which one are you. tag yourself. - OrangeAipom - 11-29-2016 you're worth hearing RE: neural network architectures. which one are you. tag yourself. - Kaynato - 11-29-2016 i was too stubborn to do cbt, instead what always happens, what always happens, is continued self-destruction RE: neural network architectures. which one are you. tag yourself. - OrangeAipom - 11-29-2016 i like that neural network more RE: neural network architectures. which one are you. tag yourself. - Kaynato - 11-29-2016 me too. variational autoencoders are p. great. also considering how I can use a lstm over a description of program actions. RE: neural network architectures. which one are you. tag yourself. - Loather - 11-30-2016 are there any good tutorials on neural networks? RE: neural network architectures. which one are you. tag yourself. - Kaynato - 11-30-2016 deeplearning.net has some wonderful tutorials. I should also link you my reading as it's been really really useful. I have pdfs all stored away... Sometime i oughta talk with you about this actually Generally it's like this, in "stuff to understand" Linear Algebra Optimization as Loss minimization Gradient Descent The Perceptron Linear Classifiers Function fitting Stochastic Gradient Descent Activation functions Backpropagation in Multilayer perceptrons So on. There's plenty of branches that are esp interesting like VAE and GANN though but once you get the general ideas of Dimension Reduction and Gaussian discovery it makes sense. Generally learn python Use tensorflow (my curr favorite) or Theano mostly Either have a GPU computer or use AWS EC2.