Photo by Janosch Diggelmann on Unsplash
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Recurrent Neural Networks (RNN)

Recurrent Neural Networks (RNN) is a neural network architecture that specializes in processing sequential data. RNN uses recurrent connections to retain previous output information, allowing the network to consider past states while processing the current step. This article will introduce the basic principles of RNN.
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Photo by Ashley Knedler on Unsplash
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Regularization

When a model has poor performance, it cannot predict the data accurately. The main cause may be overfitting or underfitting. If it is a case of overfitting, we can use regularization to solve model overfitting.
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