TransExplain can use LSTM, convolutional neural network, and attention mechanism to extract multiple sentence features and map them to a fixed-dimensional semantic feature vector. By calculating the cosine simi
Network modelsRecent computational studies have emphasized layer-wise quantitative similarity between convolutional neural networks (CNNs) and the primate visual ventral stream. However, whether such similarity holds for the face-selective areas, a subsystem of the higher visual cortex, is not clear. ...
《High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks》阅读笔记,程序员大本营,技术文章内容聚合第一站。
f (·; θ) denotes a convolutional neural network whose parameters are denoted as θ. We use H to denote a human model, and as a result, f (·; H) denotes how hu- man will classify the data ·. l(·, ·) denotes a generic loss fu...
Fully convolutional network Fully convolutional networks owe their name to their architecture, which is built only from locally connected layers, such as convolution, pooling and upsampling. Note that no dense layer is used in this kind of architecture. This reduce the number of parameters and com...
Use Grad-CAM to visualize which parts of an image are most important to the predictions of an image regression network. Load the pretrained networkdigitsRegressionNet. This network is a regression convolutional neural network that predicts the angle of rotation of handwritten digits. ...
Local kernel renormalization as a mechanism for feature learning in overparametrized convolutional neural networks Article Open access 10 January 2025 Introduction Learning machines aim to find statistical patterns in data that generalize to previously unseen samples1. How well they perform in doing so ...
(2019). Explainability methods for graph convolutional neural networks. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 10772–10781). Qian, C., Rattan, G., Geerts, F., et al. (2022). Ordered subgraph aggregation networks. Advances in Neural ...
Convolutional neural network Recurrent neural network Reinforcement learning to neural network Use cases Driverless vehicles Virtual assistants chatbots Medical research Facial recognition Robotics robot is controlled by remote Robotics is a branch of engineering that involves the conception, design, manufacture...
That younger individuals perceive the world as moving slower than adults is a familiar phenomenon. Yet, it remains an open question why that is. Using event segmentation theory, electroencephalogram (EEG) beamforming and nonlinear causal relationship estimation using artificial neural network methods, we...