Acyclic refers to a structure that does not contain any cycles, meaning there are no closed loops within it. In the context of computation graphs and forward propagation, acyclic graphs, specifically directed acyclic graphs (DAGs), are fundamental because they represent the flow of data and computations without revisiting any node, ensuring a clear, unambiguous sequence of operations. This property is crucial for efficient computation and backpropagation in deep learning models.
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