Pasina kunokora mashoko zvakananga kubva murugwaro ndipei pfupiso yechinhu chinorambidzwa Boltzmann muchina uri?
Context:A Boltzmann machine (RBM) inonzi generative stochastic artificial neural network iyo inogona kudzidza kugoverwa kwezviitiko pamusoro pezvinyorwa zvayo.  RBMs dzakatanga kugadzirwa pasi pezita rekuti Harmonium naPaul Smolensky muna 1986, uye dzakasimukira mukurumbira mushure mekunge Geoffrey Hinton nevamwe vaaishanda navo vagadzira algorithms yekudzidza nekukurumidza kwavari pakati pa2000. RBMs vakawana zvikumbiro mu dimensionality kuderedza, kupatsanura, collaborative filtering, chinhu kudzidza, musoro modelling uye kunyange vakawanda muviri quantum zvemichina. Vanogona kurovedzwa nenzira dzinotarisirwa kana kuti dzisina, zvichienderana nebasa racho.  Sezvo zita ravo rinoreva, RBMs vari musiyano weBoltzmann michina, pamwe kurambidzwa kuti neurons dzavo dzinofanira kuumba bipartite girafu: vaviri nodes kubva nerimwe mapoka maviri vezvikwata (anowanzonzi "anooneka" uye "akavanzwa" vezvikwata zvichienderana) angava symmetrical kubatana pakati pavo; uye hapana kubatana pakati nodes mukati boka. Kusiyana neizvi, michina yaBoltzmann "isina kudzorwa" inogona kuva nechinhu chinobatanidza zvinhu zvakavanzika. Kurambidzwa uku kunobvumira kuti pave nealgorithms dzedzidzo dzinoshanda kupfuura dziripo dzekirasi yeBoltzmann michina, kunyanya iyo gradient-based contrastive divergence algorithm.  Michina yeBoltzmann yakaganhurirwa inogonawo kushandiswa mumambure akadzika ekudzidza. Kunyanya, zvitendero zvakadzama zvinogona kuumbwa ne "kuisa" RBMs uye zvichida kugadzirisa zvakadzama zvakakonzerwa nehutano hwekutsika uye backpropagation.
Muchina unonzi Restricted Boltzmann Machine (RBM) rudzi rwemashandisirwo emagetsi anonzi neural network akagadzirwa naPaul Smolensky uye akazozivikanwa naGeoffrey Hinton. RBMs zvave zvichibatsira siyana mafomu mukati munda muchina kudzidza uye anogona kudzidziswa vari rinotungamirirwa uye unsupervised nzira.  RBMS ishanduko yakaganhurirwa yemichina yeBoltzmann iyo inomanikidza mauroni avo; vaviri vaviri vemapfundo kubva kune rimwe nerimwe remapoka maviri emauroni, anoonekwa uye akavanzika achiumba girafu rebipartite. Kubatanidza kunogona bedzi kuva pakati pemapoka maviri uye kwete mukati memapoka (anooneka neakavanzika). Iyi nzira yakaganhurirwa inoguma mukukwanisa kudzidzisa zvinobudirira zvikuru algorithms.  RBMs dzinogonawo kubatanidzwa mumambure akadzika ekudzidza akadai semambure ekutenda kwakadzika ane sarudzo dzekugadzirisa iwo maratidziro uchishandisa gradient descent uye backpropagation.