Sequence to Sequence Processing with LSTMs, From Scratch: PyTorch Deep Learning Tutorial

TIMESTAMPS
00:00 Introduction
00:24 Recap: Review of basic text generation using sequence prediction.
01:43 Dataset Choice: Yahoo Answers dataset selected for question answering bot.
02:24 Preprocessing: Similar dataset preprocessing as in previous video.
04:20 Tokenizer Adjustment: Modifications for question and answer tokenization.
06:32 Model Architecture: LSTM based architecture for question answering.
08:18 Training Overview: Training process, handling question and answer sequences.
10:15 Inference Process: Explanation of answer generation based on questions.

In this video I show how we can use what we have learnt so far about text generation to create a question answering bot!

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The corresponding code is available here! (Section12)
https://github.com/LukeDitria/pytorch...