book/unsupervised/semi-supervised/semi-supervised.ipynb

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   "source": [
    "# Semi Supervised Training"
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   "source": [
    "## How is semi-supervised training different from unsupervised training?\n",
    "\n",
    "Semi-supervised methods refers to training on a dataset in which only a little portion have labels while most of the data remain unlabeled. Usually these methods train like a supervised model on labeled data, and performing auxiliary updates on unlabeled data."
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