Wrap Up

What we’ve covered

Having completed this course, you should now have a strong understanding of the following:

• The primary principles of natural language processing

• How to use different natural language processing models with TensorFlow

• The basics of neural networks

• How to implement word vector algorithms

• Basic data structures

• Basic probability theory

• The basics of visualization

• The following models: CNNs, RNNs, LSTMs, transformers, and BERT

• How to train and test the models after training

Congratulations!