multi-task-learning-example
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How can I use the trained model for prediction? is it right to use prediction_model.predict(new_x) ?
I'm not in the field of deep learning and computer science, but I found this work very interesting. I am confused about what should I do if I want to use the trained model for prediction? Can I achieve this goal through prediction_model.predict(new_x)? I see only the trainable_model was trained but it can not achieve prediction. Has the prediction_model been trained at the same time? Thanks very much.
YES, the only change with the new method is on the loss function
The value I predicted with prediction_model is very different from the real value. Do you have any similar problems?