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CNN model to Recommend Comperhancive DDIs/P07_CNN on D and E DDI-predict on zeros.py

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model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy']) ## Minist
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### Load the model's saved weights.
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model.load_weights('CNN on triple DDI-Train on 42702_6_epoch.h5')
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model.load_weights('Weight/CNN on triple DDI-Train on 42702_6_epoch.h5')
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# In[4]:

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