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Update 08.sentiment-analysis-with-bert.ipynb #5

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4 changes: 2 additions & 2 deletions 08.sentiment-analysis-with-bert.ipynb
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Expand Up @@ -116,7 +116,7 @@
"\n",
"*Label* = *NotNext*\n",
"\n",
"The training corpus was comprised of two entries: [Toronto Book Corpus](https://arxiv.org/abs/1506.06724) (800M words) and English Wikipedia (2,500M words). While the original Transformer has an encoder (for reading the input) and a decoder (that makes the prediction), BERT uses only the decoder.\n",
"The training corpus was comprised of two entries: [Toronto Book Corpus](https://arxiv.org/abs/1506.06724) (800M words) and English Wikipedia (2,500M words). While the original Transformer has an encoder (for reading the input) and a decoder (that makes the prediction), BERT uses only the encoder.\n",
"\n",
"BERT is simply a pre-trained stack of Transformer Encoders. How many Encoders? We have two versions - with 12 (BERT base) and 24 (BERT Large).\n",
"\n",
Expand Down Expand Up @@ -2717,4 +2717,4 @@
]
}
]
}
}