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Keyword: Moving MNISTOpen AccessArticle
10 Pages, 3,367 KB 
Effects of Different Activation Functions for Unsupervised Convolutional LSTM Spatiotemporal Learning
Abstract:
Convolutional LSTMs are widely used for spatiotemporal prediction. We study the effect of using different activation functions for two types of units within convolutional LSTM modules, namely gate units and non-gate units. The research provides guidance for choosing the best activation function to use in convolutional LSTMs for video prediction. Moreover, this paper studies the…
Read More(This article belongs to the SP7 (Special Issue on Advancement in Engineering and Computer Science 2019) & Section Interdisciplinary Applications of Computer Science (CSI))