RNN(Recurrent Neural Networks) What is RNN? 多层反馈RNN(Recurrent neural Network、循环神经网络)神经网络是一种节点定向连接成环的人工神经网络。这种网络的内部状态可以展示动态时序行为。不同于前馈神经网络的是,RNN可以利用它内部的记忆来处理任意时序的输入序列,这让它可以更容易处理如不分段的手写识别、语音识别...
Embodiments of the present invention provide systems, methods, and computer storage media for providing factors that explain the generated results of a deep neural network (DNN). In embodiments, multiple machine learning models and a DNN are trained on a training dataset. A preliminary set of ...
"At first glance, inductive AI and the deductive scientific method seem almost incompatible," says Stephanie Schörner, a physicist who likewise contributed to the study. But the researchers found a way. Their novel neural network not only provides a classification of whether a tissue sample cont...
@article{yang2021gami, title={GAMI-Net: An explainable neural network based on generalized additive models with structured interactions}, author={Yang, Zebin and Zhang, Aijun and Sudjianto, Agus}, journal={Pattern Recognition}, volume={120}, pages={108192}, year={2021} } ...
When training simple models (like, for example, a logistic regression model), answering such questions can be trivial. But when a more performant model is necessary, like with a neural network, XAI techniques can give approximate answers for both the whole model and single predictions. ...
Scientists can use interpretable machine learning for a variety of applications, from identifying birds in images for wildlife surveys to analyzing mammograms. "I want to enhance the transparency fordeep learning, and I want a deep neural network to explain why something is the way it thinks it ...
"Transformer" means that it uses a particular type of neural network, first developed by Google and described inthis paper. "Pre-trained" is a little bit historical. Initially, the ability for the model to continue text was thought of as just a prerequisite for a more specialized task: infe...
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Neural Graphical Models FAST: An Optimization Framework for Fast Additive Segmentation in Transparent ML The Quantitative Analysis of Explainable AI for Network Anomaly Detection Enhancing Predictive Battery Maintenance Through the Use of Explainable Boosting Machine Improved Differentially Private Regression via...