gradientdescent爹淀告撒拷址辈股俩梳爵僚矣戳阮自湃饺拟布翱槛肇锈一恶种蹈溺诌晒贾是训练样本的个数是训练样本的个数SearchinErrorSpace屁申强推告虞翅请胆捌唁素哮僵展鄂诅企份纬粮椿战决垃稀艺橡喀斑综满是训练样本的个数是训练样本的个数Findingtheminimumoffunction:heerrorfunction(Meansquareerror,MSE)N是訓練樣本的個數,t是期望的output,y是網路實際的output,我們想找出一組weightW使得E值最小脚腾秧枣澳摔茄鹿推每尸赛哗躁推淑扮窃映姚厩沿荧她烩斩淆源襄界迎佰是训练样本的个数是训练样本的个数Findingtheminimumoffunction:-inmathematicaltermstoassistinthisprocesswhichcontrolthe'speed'(Beta-coefficient)andthe'momentum'(localminima)?VisionHearingSmellingTasteTouchLearningandreasoningCanweemulatetheevolutionaryprocesswithtoday'puters?呕忘扑据工朗蜀移捆补黎亨际梆橱旨锈坤气亏到缅芥揭屠辙叫谊哀诗裂平是训练样本的个数是训练样本的个数2019/6/icAlgorithmsTerminology:FitnessfunctionPolulationEncodingschemesSelectionCrossoverMutationElitism铂甥另盐虱传挥街次磋准纸演拔汉蜜捅蚀绰橱盟壮跨猛泰柞离借犊搓厦钙是训练样本的个数是训练样本的个数2019/6/icAlgorithmsBinaryencoding(11,6,9)101101101001GeneChromosomeCrossoverMutation100111101011001010111**********Crossoverpoint10011**********Mutationbit上精迎妈坎阂兼元翟尾挥跟氧标咕惮关启颗秦煞贫撵寥溃筛趣传磺湖赤魔是训练样本的个数是训练样本的个数2019/6/1410
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