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authoredJun 1, 2021
Merge pull request #2 from DanilSavine/master
Update exercise8.ipynb
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‎Exercise8/exercise8.ipynb

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" ----------\n",
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" params : array_like\n",
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" The parameters which will be optimized. This is a one\n",
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" dimensional vector of shape (num_movies x num_users, 1). It is the \n",
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" dimensional vector of shape (num_movies * num_features + num_users * num_features, 1). It is the \n",
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" concatenation of the feature vectors X and parameters Theta.\n",
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" \n",
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" Y : array_like\n",
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" \n",
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" grad : array_like\n",
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" The gradient vector of the cost function at the given params.\n",
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" grad has a shape (num_movies x num_users, 1)\n",
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" grad has a shape (num_movies * num_features + num_users * num_features, 1)\n",
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" \n",
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" Instructions\n",
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" ------------\n",

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