What are the methods for text vectorization? (Multiple choice)

SeLU can effectively avoid the range of zero gradient in ReLU and can achieve an effect similar to batch normalization.

In the N-gram model, N refers to ignoring the influence of the previous words whose distance is greater than n. The larger N is, the richer the order information contained in the model, and the amount of calculation increases accordingly.

The goal of artificial intelligence is to make computers as smart as humans.

There are two main methods for semi-supervised learning: one is to perform unsupervised clustering first and then supervised learning. The other is Self-Learning.