Discovering Symbolic Models From Deep Learning With Inductive Biases

In machine learning, the aim is to create algorithms that can learn and predict a required target output from the learnings. To achieve this, the learning algorithm is presented and fed with some examples it can train and learn from to achieve the intended relation of input and output values.

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Discovering Symbolic Models From Deep Learning With Inductive Biases