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?

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Explain how tokenized words are processed in the encoder layer.

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

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

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

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