Spatio-temporal model

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Statistical models are constructed due to internal correlation between the input features. Sometimes, the correlation can be in multi-dimensional, such as correlation in both multi-dimensional space and time. It is a small branch of applied statistics. We will present several concepts of this multi-dimensional correlation modelling and its applications for more advanced usage of statistical and machine learning. For this course, this part is optional.

• file: contents/P6_deep-learning/cnn.md title: Lecture 20 – Convolutional neural network

• file: contents/P6_deep-learning/rnn.md title: Lecture 21 – Recursive neural networks - LSTM

• file: contents/P6_deep-learning/spatio-temporal.md title: Lecture 22 – Spatio-temporal modelling

• file: contents/P6_deep-learning/spde.md title: Lecture 23 – Statistical paritical differential equations