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Explain value truncation in some figures (#199)

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* clarify truncation

* typo fix
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Sebastian Raschka 2024-06-08 13:24:37 -05:00 committed by GitHub
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ch03/01_main-chapter-code/ch03.ipynb
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@ -271,7 +271,7 @@
"id": "299baef3-b1a8-49ba-bad4-f62c8a416d83", "id": "299baef3-b1a8-49ba-bad4-f62c8a416d83",
"metadata": {}, "metadata": {},
"source": [ "source": [
"- (In this book, we follow the common machine learning and deep learning convention where training examples are represented as rows and feature values as columns; in the caase of the tensor shown above, each row represents a word, and each column represents an embedding dimension)\n", "- (In this book, we follow the common machine learning and deep learning convention where training examples are represented as rows and feature values as columns; in the case of the tensor shown above, each row represents a word, and each column represents an embedding dimension)\n",
"\n", "\n",
"- The primary objective of this section is to demonstrate how the context vector $z^{(2)}$\n", "- The primary objective of this section is to demonstrate how the context vector $z^{(2)}$\n",
" is calculated using the second input sequence, $x^{(2)}$, as a query\n", " is calculated using the second input sequence, $x^{(2)}$, as a query\n",