Book Content
chapters • 17h8m total length
1. Introduction to Natural Language Processing
2. Understanding TensorFlow 2
3. Word2vec – Learning Word Embeddings
4. Advanced Word Vector Algorithms
5. Sentence Classification with Convolutional Neural Networks
6. Recurrent Neural Networks
7. Understanding Long Short-Term Memory Networks
8. Applications of LSTM – Generating Text
9. Sequence-to-Sequence Learning – Neural Machine Translation
10. Transformers
11. Image Captioning with Transformers
12. Appendix A: Mathematical Foundations and Advanced TensorFlow
