17 citations · 43 across the 22 of their papers we have counts for
3 papers · 1 filter
Explaining Convolutional Neural Networks using Softmax Gradient Layer-wise Relevance Propagation
Brian Kenji Iwana, Ryohei Kuroki, Seiichi Uchida
Convolutional Neural Networks (CNN) have become state-of-the-art in the field of image classification. However, not everything is understood about their inner representations. This…
Modality Conversion of Handwritten Patterns by Cross Variational Autoencoders
Taichi Sumi, Brian Kenji Iwana, Hideaki Hayashi +1
This research attempts to construct a network that can convert online and offline handwritten characters to each other. The proposed network consists of two Variational Auto-Encode…
ProbAct: A Probabilistic Activation Function for Deep Neural Networks
Kumar Shridhar, Joonho Lee, Hideaki Hayashi +6
Activation functions play an important role in training artificial neural networks. The majority of currently used activation functions are deterministic in nature, with their fixe…