卷积神经网络(Convolutional Neural Networks, CNN)是一类包含卷积计算的前馈神经网络,是基于图像任务的平移不变性(图像识别的对象在不同位置有相同的含义)设计的,擅长应用于图像处理等任务。在图像处理中,图像数据具有非常高的维数(高维的RGB矩阵表示),因此训练一个标准的前馈网络来识别图像将需要成千上万的输入神经元,...
Speaker: Yuan Cao Title: Benign Overfitting in Two-layer Convolutional Neural Networks Abstract: Modern neural networks often have great expressive power and can be trained to overfit the training data, while still achieving a good test performance. This phenomenon is referred to as “benign ...
CNN Explainer: Interactive visualization of CNNs (Link)
Revision of the designs and implementation of Modern Convolutional Neural Network architectures Introduction to Convolutional Neural Networks Convolutional Neural Networks (ConvNets or CNNs) are a class of neural networks algorithms that are mostly used in visual recognition tasks such asimage classification...
436). However, whether these two accounts are compatible or competitors as explainers has been a topic of recent discussions (Barack & Krakauer, 2021).Footnote 6 Without taking a stance on this question, I charitably consider that mapping representations on both of these levels of analysis can ...
(2023). A graph neural network (GNN) method for assigning gas calorific values to natural gas pipeline networks. Energy, 278: 127875. Article Google Scholar Ying R, Bourgeois D, You J, et al. (2019)). GNNExplainer: Generating explanations for graph neural networks. arXiv:1903.03894. ...
Hence, the SHAP (SHapley Additive exPlanations) explainer is adopted to describe the model’s decision-making mechanism. It determines the Shaple values of the input channels. It uses them to calculate the contribution of each channel to the model output to discover the most effective channels ...
Analysis of explainers of black box deep neural networks for computer vision: A survey. Mach. Learn. Knowl. Extr. 2021, 3, 48. [Google Scholar] [CrossRef] Xie, N.; Ras, G.; van Gerven, M.; Doran, D. Explainable deep learning: A field guide for the uninitiated. arXiv 2020, ar...