from keras.models import Sequential
from keras.layers import Dense, Activation
import numpy as np
 
model = Sequential([
    Dense(5, input_dim=10),
    Activation('relu')
])
 
model2 = Sequential([
    Dense(5, input_dim=10, activation='relu')
])
 
model2.layers[0].set_weights(model.layers[0].get_weights())
 
dummy_data = np.array([[1, 2, 3, -400, 5, 6, 7, -8, -9000, 10]])
 
prediction = model.predict(dummy_data)
prediction2 = model2.predict(dummy_data)
 
print("Prediction:", prediction)
print("Prediction2:", prediction2)

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