Wrap Up

Wrap up this course with some final thoughts.

We'll cover the following

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


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