model.add(Merge([model1, model2], mode='concat'))

[prachinarang24]

This is throwing error please help as I am new to programming in deep learning

[rajatsharma369007]

solved:

# model = Sequential()

model = Add()([model1.output, model2.output])
model = Dense(hidden_dims, kernel_initializer=weights)(model)
model = Dropout(dropout)(model)
if deeper == True:
    model = Dense(hidden_dims//2, kernel_initializer=weights)(model)
    model = Dropout(dropout)(model)
model = Dense(1, kernel_initializer = weights, name='output')(model)
new_model = Model([model1.input, model2.input], model)
new_model.compile(loss='mean_squared_error', optimizer=Adam(lr=learning_rate, clipvalue=1.0))
return new_model

import Add layer in the top

[gnaneshnammi]

How to import Add layer

[asaxenastanford]

@gnaneshnammi from keras.layers import * from keras.layers import add