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pritesh2000
2024-09-02 17:08:01 +05:30
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04_pytorch_custom_datasets.ipynb
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"\n",
"And preventing overfitting and underfitting is possibly the most active area of machine learning research.\n",
"\n",
"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",
"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",
"\n",
"There's a fine line between overfitting and underfitting.\n",
"\n",
@@ -3180,7 +3180,7 @@
"\n",
"Even though our models our performing quite poorly, we can still write code to compare them.\n",
"\n",
"Let's first turn our model results in pandas DataFrames."
"Let's first turn our model results into pandas DataFrames."
]
},
{
@@ -3358,7 +3358,7 @@
"source": [
"## 11. Make a prediction on a custom image\n",
"\n",
"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",
"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",
"\n",
"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",
"\n",