Deep inference refers to a category of computational techniques and algorithms that aim to enhance the inference process in machine learning models, particularly deep learning models. Although the term "deep inference" may not have a single, universally accepted definition, it often encompasses the following ideas: 1. **Hierarchical Probabilistic Models**: Deep inference often involves the use of hierarchical models that allow for complex dependencies and interactions between variables.
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