IDE
.
βββ 0-introduction
βββ 1-deep-nlp-intuition
βββ 2-building-a-chatbot-with-deep-nlp
β βββ part1-data-preprocessing
β βββ part2-building-the-seq2seq-model
β βββ part3-training-the-seq2seq-model
β βββ part4-testing-the-seq2seq-model
β
βββ 3-other-chatbot-implementations
βββ 4-annexes
β βββ annex1-ann
β βββ annex2-rnn
β
βββ README.md
We will learn:
- Types of natural language processing
- Classical vs deep learning models
- End-to-end deep learning models
- Bag-of-words
- Seq2seq architecture
- Seq2seq training
- Beam search decoding
- Attention Mechanisms
- Annex 1 : Artificial Neural Networks
- Annex 2 : Recurrent Neural Networks