Advanced Chatbots with Deep Learning and Python - Encoder Decoder

The video tutorial explains the encoder-decoder model used in neural networks, focusing on tokenization, LSTM, and RNNs. It details the encoding and decoding processes and highlights the application of these models in deep learning-based chatbots.

What is the role of the encoder model in the context of neural networks?

Explain how tokenized words are processed in the encoder layer.

What are LSTMs and how do they relate to the encoder model?

What is the significance of the CT format in the encoding process?

Describe the process of encoding and decoding in the context of deep learning-based chatbots.