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A visual guide to language models for text classification, from bag-of-words to Jev

The author describes the write-up as a guide to RNNs, CNNs, transformers and calibration, with hands-on experiments on accuracy and efficiency.

Sebastian RaschkaSR
2 Sources, 10d ago, first seen 10d ago

TLDR

The author shared an article on language models for text classification, titled “From Bag-of-Words to Jev.” They describe it as a visual guide to RNNs, CNNs, transformers and calibration, with hands-on experiments on accuracy and efficiency.

Combined views

80.3K

2 Sources, first seen 10d ago

2.1K likes55 comments1.8K saves275 reposts

Combined views

80.3K

2 Sources, first seen 10d ago

2.1K likes55 comments1.8K saves275 reposts

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2 Sources

Sebastian Raschka@rasbtTook a while, but here it is, a mega write-up on language models for text classification and, of course, Jev. It's basically a visual guide to RNNs, CNNs, transformers, and calibration, with hands-on experiments on accuracy and efficiency.10d
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    Sebastian Raschka

    2 Sources

    Sebastian Raschka@rasbtTook a while, but here it is, a mega write-up on language models for text classification and, of course, Jev. It's basically a visual guide to RNNs, CNNs, transformers, and calibration, with hands-on experiments on accuracy and efficiency.10d
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