CNNs don’t have the assumption that history is complete: Unlike RNNs, CNNs learn patterns within the time window. If you have missing data, CNNs should be useful . In a way, CNNs can look forward: RNN models only learn from data before the timestep it needs to predict.
Read moreWhat is spatio temporal convolutional neural networks?
A spatial–temporal Convolutional Neural Network is designed to automatically extract spatial–temporal features of the crowd . • The performance of anomaly detection is improved when the analysis is concentrated on the dynamic regions only.
Read moreWhat is N Beats?
N-beats is a deep neural architecture based on backward and forward residual links and a very deep stack of fully-connected layers . The architecture has a number of desirable properties, being interpretable, applicable without modification to a wide array of target domains, and fast to train.
Read moreWhat is multiple time series?
Multiple time series is just that: Multiple series instead of a single series . Multivariate time series is usually contrasted with univariate time series, where each observation at a time t is a vector of values instead of a single value.
Read moreWhat is differentiable architecture search?
Differentiable Architecture Search (DART) is a method for efficient architecture search . The search space is made continuous so that the architecture can be optimized with respect to its validation set performance through gradient descent.
Read moreWhat is multivariate time series?
A Multivariate Time Series consist of more than one time-dependent variable and each variable depends not only on its past values but also has some dependency on other variables .
Read moreHow do I connect my ML to Flutter?
On-device ML with TFLite models in Flutter apps
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