Chatbots for Beginners: A Complete Guide to Build Chatbots - Deep Learning-Based Chatbot Architecture and Development: E

The video tutorial explains the encoder-decoder model used in deep learning, particularly in chatbots. It covers the process of tokenizing input words, using LSTM or RNN networks for encoding, and converting these into a unified format. The tutorial also discusses the decoding process and its application in chatbots, with a promise of further explanation using Python.

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

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

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