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Getting Started with Google BERT Build and train state-of-the-art natural language processing models using BERT
| Identifier | --sudharsanr-1698 |
|---|---|
| Penulis / Pengarang | Sudharsan Ravichandiran |
| Kata Kunci | Natural Language Processing |
| Tanggal Publikasi | 01 Jan 2021 |
| Bahasa | Bahasa Inggris |
| Abstrak / Deskripsi | The transformer is one of the most popular state-of-the-art deep learning architectures that is mostly used for natural language processing (NLP) tasks. Ever since the advent of the transformer, it has replaced RNN and LSTM for various tasks. Several new NLP models, such as BERT, GPT, and T5, are based on the transformer architecture. In this chapter, we will look into the transformer in detail and understand how it works. |
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| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 | 2021 Getting Started with Google BERT Build and train state-of-the-art natural language processing models using BERT by Sudharsan Ravichandiran.pdf | application/pdf | 39,2 MB | ⬇️ Buka / Download |
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