Your deep learning model does not need to be a black box.

[tbrittoborges]

Have you checked the list of proposed rules to see if the rule has already been proposed?

• [x] Yes

Many machine learning application tolerate black-box models; however, research in Life Sciences benefits from details that come from the model interpretation. The idea of this rule is to describe the use of methods, focusing on autoencoders, as a way to interpret you deep learning model.

Any citations for the rule? (peer-reviewed literature preferred but not required)

• Understanding Random Forests: From Theory to Practice: not deep learn, but relevant.
• Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
• Visual Interpretability for Deep Learning: a Survey