Question

我正在使用React material-ui。我试图仅在def myModel(): no_Of_Filters=60 size_of_Filter=(5,5) # THIS IS THE KERNEL THAT MOVE AROUND THE IMAGE TO GET THE FEATURES. # THIS WOULD REMOVE 2 PIXELS FROM EACH BORDER WHEN USING 32 32 IMAGE size_of_Filter2=(3,3) size_of_pool=(2,2) # SCALE DOWN ALL FEATURE MAP TO GERNALIZE MORE, TO REDUCE OVERFITTING no_Of_Nodes = 500 # NO. OF NODES IN HIDDEN LAYERS model= Sequential() model.add((Conv2D(no_Of_Filters,size_of_Filter,input_shape=(imageDimesions[0],imageDimesions[1],1),activation='relu'))) # ADDING MORE CONVOLUTION LAYERS = LESS FEATURES BUT CAN CAUSE ACCURACY TO INCREASE model.add((Conv2D(no_Of_Filters, size_of_Filter, activation='relu'))) model.add(MaxPooling2D(pool_size=size_of_pool)) # DOES NOT EFFECT THE DEPTH/NO OF FILTERS model.add((Conv2D(no_Of_Filters//2, size_of_Filter2,activation='relu'))) model.add((Conv2D(no_Of_Filters // 2, size_of_Filter2, activation='relu'))) model.add(MaxPooling2D(pool_size=size_of_pool)) model.add(Dropout(0.5)) model.add(Flatten()) model.add(Dense(no_Of_Nodes,activation='relu')) model.add(Dropout(0.5)) # INPUTS NODES TO DROP WITH EACH UPDATE 1 ALL 0 NONE model.add(Dense(noOfClasses,activation='softmax')) # OUTPUT LAYER # COMPILE MODEL model.compile(Adam(lr=0.001),loss='categorical_crossentropy',metrics=['accuracy']) return model ############################### TRAIN model = myModel() print(model.summary()) history=model.fit_generator(dataGen.flow(X_train,y_train,batch_size=batch_size_val),steps_per_epoch=steps_per_epoch_val,epochs=epochs_val,validation_data=(X_validation,y_validation),shuffle=1)打开时调用函数：

Accordion

Answer 1

Accordian onChange中有道具，如果手风琴是开火的，您可以通过它并对其进行跟踪，即

<Accordion onChange = {(e,expanded) => {
        if(expanded){
          calledFunction()
        }
      }}>

在您的情况下，将是这样的：

<Accordion   onChange = {(e,expanded) => {
        if(expanded){
          this.myFn(row.id)
        }
      }} >

这里是演示：https://codesandbox.io/s/spring-leftpad-uu9yc?file=/demo.js

React Material UI手风琴：手风琴打开时如何调用函数？

1 个答案: