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...
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...
DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network Predicting the response of a cancer cell line to a therapeutic drug is pivotal for personalized medicine. Despite numerous deep learning methods that have ... H Shi,T Xu,X Li,... 被引量...
Towards consistency of rule-based explainer and black box model -- fusion of rule induction and XAI-based feature importance Rule-based models offer a human-understandable representation, i.e. they are interpretable. For this reason, they are used to explain the decisions of non-... Kozielski...
The accurate classification of seizure types using electroencephalography (EEG) signals plays a vital role in determining a precise treatment plan and therapy for epilepsy patients. Among the available deep network models, Convolutional Neural Networks (