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Constant-Cranberry29 OP t1_irreagz wrote

Do you mean I need size up in this part?

def ResNet50Regression():

`Res_input = layers.Input(shape=(178,))`

# 128

`width = 128`



`x = dens_block(Res_input,width)`

`x = identity_block(x,width)`

`x = identity_block(x,width)`



`x = dens_block(x,width)`

`x = identity_block(x,width)`

`x = identity_block(x,width)`



`x = dens_block(x,width)`

`x = identity_block(x,width)`

`x = identity_block(x,width)`



`x = layers.BatchNormalization()(x)`

`x = layers.Dense(1,activation='linear')(x)`

`model = models.Model(inputs=Res_input, outputs=x)`



`return model`
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