IDE
.
├── 0-introduction
├── 1-deep-nlp-intuition
├── 2-building-a-chatbot-with-deep-nlp
│ ├── part1-data-preprocessing
│ ├── part2-building-the-seq2seq-model
│ ├── part3-training-the-seq2seq-model
│ └── part4-testing-the-seq2seq-model
│
├── 3-other-chatbot-implementations
├── 4-annexes
│ ├── annex1-ann
│ └── annex2-rnn
│
└── 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