WitrynaThis paper shows that one of our proposed models; which employed a hybrid between LSTM and CNN neural networks, obtained better accuracy on the same dataset than all state-of-the-art models in the literature. ... to define locality, which require considerable computations. In this paper, we are investigating a locality-based time series WitrynaThe performance of the FC network almost stayed unchanged ($85\%$), but the accuracy of CNN dropped to $83\%$. This is because, after a random permutation, the images no longer hold the three properties of locality, stationarity, and compositionality, that are exploitable by a CNN.

Transformer in Convolutional Neural Networks DeepAI

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image processing - What is the type of extracted CNN features: …

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