Submitted by Constant-Cranberry29 t3_y0deqh in deeplearning
Constant-Cranberry29 OP t1_irreagz wrote
Reply to comment by _Arsenie_Boca_ in how to find out the problem when want to do testing the model? by Constant-Cranberry29
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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