The presence of mutual information in the research of deep learning has grown significantly. It has been proven that mutual information can be a good objective function to build a robust deep learning model. Most of the researches utilize estimation methods to approximate the true mutual information. This technical report delivers an extensive study about definitions as well as properties of mutual information. This article then delivers some reviews and current drawbacks of mutual information estimation methods afterward.
翻译:相互信息在深层学习研究中的存在已大为增加,经证明,相互信息可以成为建立强有力的深层学习模式的良好客观功能,大多数研究利用估计方法来接近真正的相互信息,本技术报告对相互信息的定义和性质进行了广泛研究,然后对相互信息评估方法进行了一些审查和目前的缺点。