por que quando eu uso um metodo de atualizar o peso da rede de forma aleatoria o modelo aprende mais rapido seq2seq,n era pra ser o inverso?
 let ysa= vm.model.getWeights().map(s=>{ let prop=Math.random() let u u=s
                        u=tf.add(s.mul(1-prop),tf.randomNormal(s.shape).mul(prop))
                        
                        return u
                    })
                    vm.model.setWeights(ysa)
let res=await vm.check() if(res>vm.record){ vm.record=res vm.model2.setWeights(vm.model.getWeights()) await vm.model.save(‘file://./model_random’) }else{ vm.model.setWeights(vm.model2.getWeights()) } The letter m should appear at least 14 times.
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