How to make comprehensive resnet50 model structure

I'm a beginner in AI. I have a simple DNN architecture, then I want to convert it to ResNet-50. Can someone help me?

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here the DNN architecture:



X = Input(shape = (89,))                            ## input layer with metrics size number\_of\_data\_points \* 8
layer1 = Dense(64, activation = 'relu')(X)          # 3rd dense layer 
layer2 = Dense(32, activation = 'relu')(layer1)          # 3rd dense layer
layer3 = Dense(16, activation = 'relu')(layer2)          # 3rd dense layer
layer4 = Dense(1, activation = 'sigmoid')(layer3)
model = …

deeplearning resnet50