Researchers Study Tensor Networks for Interpretable and Efficient Quantum-Inspired Machine Learning

Computer vision, NLP, and other domains have seen remarkable success with deep machine learning (ML) approaches based on deep neural networks (NNs). However, the long-standing problem of interpretability vs efficiency presents several formidable obstacles. The ability to question, comprehend, and trust deep ML approaches depends on their interpretability, often described as the degree to which […]

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