TIMESTAMPS
0:00: Introduction
1:18: LSTM for text classification methodology.
2:44: Introduction to torchtext and AG News dataset.
10:25: Tokenization and building vocabularies.
19:47: Embedding matrix explanation.
21:47: Data augmentation for text.
26:08: LSTM network implementation.
30:15: Training and evaluation.
In this video we introduce Natural Language Processing or the use of text data.I Show how to use text Data as an input to our LSTM and perform many-to-one classification!
The corresponding code is available here!
github.com/LukeDitria/pytorch...
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