Error while trying to merge two neural networks
$begingroup$
I'm trying to merge two neural networks with Keras.
The code:
left_branch = Sequential()
left_branch.add(Dense(512, input_shape=(7000,)))
left_branch.add(Activation('relu'))
right_branch = Sequential()
right_branch.add(Dense(512, input_shape=(14012,)))
right_branch.add(Activation('relu'))
merged = Concatenate([left_branch, right_branch])
final_model = Sequential()
final_model.add(merged)
final_model.add(Dense(3, activation='softmax'))
final_model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
final_model.fit([np.array(review_matrix), np.array(X_train)], labels,epochs=2, verbose=1)
final_model.save('model.merged')
I get the following error: AssertionError (assert len(inputs) == 1)
I guess the problem comes from the fact that final_model should not be sequential. However, I don't know how I can do otherwise. In a lot of links, it works with sequential model (for example: https://statcompute.wordpress.com/2017/01/08/an-example-of-merge-layer-in-keras/)
Thanks !
keras nlp
asked 2 days ago
nolw38nolw38
62
New contributor
nolw38 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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add a comment |
$begingroup$
I'm trying to merge two neural networks with Keras.
The code:
left_branch = Sequential()
left_branch.add(Dense(512, input_shape=(7000,)))
left_branch.add(Activation('relu'))
right_branch = Sequential()
right_branch.add(Dense(512, input_shape=(14012,)))
right_branch.add(Activation('relu'))
merged = Concatenate([left_branch, right_branch])
final_model = Sequential()
final_model.add(merged)
final_model.add(Dense(3, activation='softmax'))
final_model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
final_model.fit([np.array(review_matrix), np.array(X_train)], labels,epochs=2, verbose=1)
final_model.save('model.merged')
I get the following error: AssertionError (assert len(inputs) == 1)
I guess the problem comes from the fact that final_model should not be sequential. However, I don't know how I can do otherwise. In a lot of links, it works with sequential model (for example: https://statcompute.wordpress.com/2017/01/08/an-example-of-merge-layer-in-keras/)
Thanks !
keras nlp
asked 2 days ago
nolw38nolw38
62
New contributor
nolw38 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
$begingroup$
refer this : stackoverflow.com/questions/51871271/…
$endgroup$
– Preet
2 days ago
add a comment |
$begingroup$
I'm trying to merge two neural networks with Keras.
The code:
left_branch = Sequential()
left_branch.add(Dense(512, input_shape=(7000,)))
left_branch.add(Activation('relu'))
right_branch = Sequential()
right_branch.add(Dense(512, input_shape=(14012,)))
right_branch.add(Activation('relu'))
merged = Concatenate([left_branch, right_branch])
final_model = Sequential()
final_model.add(merged)
final_model.add(Dense(3, activation='softmax'))
final_model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
final_model.fit([np.array(review_matrix), np.array(X_train)], labels,epochs=2, verbose=1)
final_model.save('model.merged')
I get the following error: AssertionError (assert len(inputs) == 1)
I guess the problem comes from the fact that final_model should not be sequential. However, I don't know how I can do otherwise. In a lot of links, it works with sequential model (for example: https://statcompute.wordpress.com/2017/01/08/an-example-of-merge-layer-in-keras/)
Thanks !
keras nlp
asked 2 days ago
nolw38nolw38
62
New contributor
nolw38 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$endgroup$
I'm trying to merge two neural networks with Keras.
The code:
left_branch = Sequential()
left_branch.add(Dense(512, input_shape=(7000,)))
left_branch.add(Activation('relu'))
right_branch = Sequential()
right_branch.add(Dense(512, input_shape=(14012,)))
right_branch.add(Activation('relu'))
merged = Concatenate([left_branch, right_branch])
final_model = Sequential()
final_model.add(merged)
final_model.add(Dense(3, activation='softmax'))
final_model.compile(loss='categorical_crossentropy', optimizer='adam', metrics=['accuracy'])
final_model.fit([np.array(review_matrix), np.array(X_train)], labels,epochs=2, verbose=1)
final_model.save('model.merged')
I get the following error: AssertionError (assert len(inputs) == 1)
I guess the problem comes from the fact that final_model should not be sequential. However, I don't know how I can do otherwise. In a lot of links, it works with sequential model (for example: https://statcompute.wordpress.com/2017/01/08/an-example-of-merge-layer-in-keras/)
Thanks !
keras nlp
keras nlp
asked 2 days ago
nolw38nolw38
62
New contributor
nolw38 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
nolw38nolw38
62
New contributor
nolw38 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
nolw38nolw38
62
New contributor
nolw38 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
asked 2 days ago
nolw38nolw38
62
asked 2 days ago
nolw38nolw38
62
62
New contributor
nolw38 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
New contributor
nolw38 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
nolw38 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.
$begingroup$
refer this : stackoverflow.com/questions/51871271/…
$endgroup$
– Preet
2 days ago
add a comment |
$begingroup$
refer this : stackoverflow.com/questions/51871271/…
$endgroup$
– Preet
2 days ago
$begingroup$
refer this : stackoverflow.com/questions/51871271/…
$endgroup$
– Preet
2 days ago
$begingroup$
refer this : stackoverflow.com/questions/51871271/…
$endgroup$
– Preet
2 days ago
add a comment |
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refer this : stackoverflow.com/questions/51871271/…
$endgroup$
– Preet
2 days ago