论文链接: https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.128.180505 1 神经网络(neural network,NN)已经影响了许多领域,如神经科学、工程、计算机科学、化学和物理学。然而,由于严重的技术挑战,它们的历史发展在进步期与停滞期之间徘徊。感知器很早就作为一种人工神经元被引入,但后来才意识到多层感知器...
之前提到的衍射神经网络的运算都是在实空间完成的运算,而这篇论文展示了将图像进行傅里叶变换后再经过神经网络处理的方法。这种方法能够完成更加复杂的计算机视觉的任务(例如分割),同时也被证实了相比以往,傅里叶衍射神经网络在一些任务上有着更高的正确率和稳定性。 这篇论文中,作者使用傅里叶衍射神经网络,实现了计...
The hippocampus is traditionally implicated in learning and memory. Accumulating evidence suggests that the ventral hippocampus contributes to the control of energy balance. For example, administration of leptin into the ventral hippocampus decreases food intake [169], while that of ghrelin increases food...
Lucek PR, Ott J. Neural network analysis of complex traits. Genet Epidemiol. 1997; 14 (6):1101–1106. doi: 10.1002/(SICI)1098-2272(1997)14:63.0.CO;2-K. [ Cross Ref ]Lucek,P. R. et al.Neural network analysis of complex traits. Genetic Epidemiology . 1997...
Finally we examine the genuinely nonlocal distribution presented in [M.-O. Renou et al., PRL 123, 140401 (2019)], and, guided by the findings of the neural network, conjecture nonlocality in a new range of parameters in these distributions. The method allows us to get an estimate on ...
ACM MM19的文章“Multi-modal knowledge-aware event memory network for social media rumor detection“利用VGG提取视觉信息,利用双向GRU提取文本信息,利用注意力机制获得文本信息增强的视觉表示,更好的理解了多模态信息。 ACL21的文章“Multimodal Fusion with Co-Attention Networks for Fake News Detection “借鉴了人...
neural_network_raw.ipynb recurrent_network.ipynb variational_autoencoder.ipynb 4_Utils 5_DataManagement 6_MultiGPU README.md resources tensorflow_v1 tensorflow_v2 .gitignore LICENSE README.md input_data.py Breadcrumbs TensorFlow-Examples /notebooks ...
Horizontal visibility graph and multiplex network. The HVG41 associated with a finite univariate time ttstizhiiepmerelsiweeectxsrish,itextehaerig=rvNeireosrar{n{lptxaxehxy[lx}:te[lN]titr=si}wsr]tt14,r=m,o0exao.1xp[vS,ftleipejis]rcqe t>accuitocie axfneidl[scslttaoevprl...
The network can find the optimal solution by learning the laws of physics. Furthermore, optimization techniques, such as dynamically adjusting the weights, can be used to improve the calculation precision. Topology optimization, the design of the size and shape of the structure within a given ...
2019-PRL-BDNN: Binary Convolution Neural Networks for Fast Object Detection 2019-TNNLS-Towards Compact ConvNets via Structure-Sparsity Regularized Filter Pruning [Code] 2019.03-Network Slimming by Slimmable Networks: Towards One-Shot Architecture Search for Channel Numbers [Code] 2019.03-Single Path One...