When I create and load a deep learning model, an error pops up that a non-type is returned. I want the model to be loaded normally, not a non-type
def base_network_MLP(dimension, input_dim):
x = Dense(20, activation='relu')(input_dim)
x = Dense(dimension, activation='relu')(x)
return x
def siamese_MLP(dimension, input_dim):
input_a = Input(shape=input_dim, name='left_input')
input_b = Input(shape=input_dim, name='right_input')
vector_output_a = base_network_MLP(dimension, input_a)
vector_output_b = base_network_MLP(dimension, input_b)
output = Lambda(euclidean_distance, name='output_layer')([vector_output_a, vector_output_b])
# define model
model = Model([input_a, input_b], output)
# plot_model(model, show_shapes=True, show_layer_names=True)
return model
a = siamese_MLP(6,(100))
a.save_weights('abc.h5')
model = siamese_MLP(6,(100)
model.compile(loss='mse', optimizer='sgd')
c = model.load_weights('abc.h5')
c.summary()
AttributeError Traceback (most recent call last) ~\AppData\Local\Temp\ipykernel_32844\188463796.py in ----> 1 c.summary()
AttributeError: 'NoneType' object has no attribute 'summary'
