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04_pytorch_custom_datasets.ipynb

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"\n",
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"And preventing overfitting and underfitting is possibly the most active area of machine learning research.\n",
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"Since everone wants their models to fit better (less underfitting) but not so good they don't generalize well and perform in the real world (less overfitting).\n",
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"Since everyone wants their models to fit better (less underfitting) but not so good they don't generalize well and perform in the real world (less overfitting).\n",
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"There's a fine line between overfitting and underfitting.\n",
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"Even though our models our performing quite poorly, we can still write code to compare them.\n",
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"Let's first turn our model results in pandas DataFrames."
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"Let's first turn our model results into pandas DataFrames."
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"source": [
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"## 11. Make a prediction on a custom image\n",
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"If you've trained a model on a certain dataset, chances are you'd like to make a prediction on on your own custom data.\n",
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"If you've trained a model on a certain dataset, chances are you'd like to make a prediction on your own custom data.\n",
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"In our case, since we've trained a model on pizza, steak and sushi images, how could we use our model to make a prediction on one of our own images?\n",
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