Browsing Machine Learning Methods in Visualisation for Big Data by Subject "Dimensionality reduction and manifold learning"

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    • Visual Interpretation of DNN-based Acoustic Models using Deep Autoencoders 

      Grósz, Tamás; Kurimo, Mikko (The Eurographics Association, 2020)
      In the past few years, Deep Neural Networks (DNN) have become the state-of-the-art solution in several areas, including automatic speech recognition (ASR), unfortunately, they are generally viewed as black boxes. Recently, ...