Autoencoders are a type ofneural networkarchitecture in the field of deep learning designed for unsupervised learning and feature learning. The fundamental concept behind autoencoders is to encode input data into a compressed, lower-dimensional representation and then decode it back to the original d...
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图的空域网络(spatial-temporal networks),因为该模型通常用在动态图(dynamic graph)上。 图的自编码(auto-encoder),因为该模型通常使用无监督学习(unsupervised)的方式。 图生成网络(generative networks),因为是生成式网络。 GNN模型概览 在该节中,首先提出原始的图神经网络问题以及处理方法,然后介绍各种GNN的变体模型...
Variational AutoencodersTCGAIn the era of precision medicine and cancer genomics, data are being generated so quickly that it is difficult to fully appreciate the extent of what is discoverable. DNA methylation, a chemical modification to DNA, has been shown to be a significant factor in many ...
Intelligent fault diagnosis of rotating machinery under varying working conditions with global–local neighborhood and sparse graphs embedding deep regularized autoencoder Zejin Sun, Youren Wang, Jiahao Gao Article 106590 Article preview select article Application of artificial neural networks for predicting...
Here, variational autoencoders and adversarial autoencoders are often used to design new molecules in an automated process by fitting the design model to large datasets of drug molecules. Autoencoders are a type of neural network for unsupervised learning and are also the tools used to, for in...
Consists of variety of Autoencoders implementation for various applications such as denoising image, reverse image search, segmantic hair segmentation. - anega006/Autoencoders
C.K-means D.Dictionary learning E.Autoencoder networks V.DEEP LEARNING A.Activation functions and rectifiers B.End-to-end training C.Convolutional neural networks D.Transfer learning E.Specialized architectures F.Applications in acoustics X.CONCLUSION...
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation from Transformers by Self-supervised Learning of Sketch Gestalt CVPR 2020 [Code] Vector/stroke-level Sketch recognition, retrieval, and gestalt Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting CVPR 2021 [Code...
Progressive Adjacent-Layer coordination symmetric cascade network for semantic segmentation of Multimodal remote sensing images Xiaomin Fan, Wujie Zhou, Xiaohong Qian, Weiqing Yan Article 121999 Article preview select article An efficient self-attention-based conditional variational auto-encoder generative adver...