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  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "568693f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install -Uqq fastai\n",
    "from fastai.vision.all import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f4dc2701",
   "metadata": {},
   "outputs": [],
   "source": [
    "path = untar_data(URLs.PETS)/'images'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "4a0c1feb",
   "metadata": {},
   "outputs": [],
   "source": [
    "def is_cat(x): return x[0].isupper() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "88a468a4",
   "metadata": {},
   "outputs": [],
   "source": [
    "dls = ImageDataLoaders.from_name_func('.',\n",
    "    get_image_files(path), valid_pct=0.2, seed=42,\n",
    "    label_func=is_cat,\n",
    "    item_tfms=Resize(192))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "2473d452",
   "metadata": {},
   "outputs": [
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       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>error_rate</th>\n",
       "      <th>time</th>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: left;\">\n",
       "      <th>epoch</th>\n",
       "      <th>train_loss</th>\n",
       "      <th>valid_loss</th>\n",
       "      <th>error_rate</th>\n",
       "      <th>time</th>\n",
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       "      <td>0.076380</td>\n",
       "      <td>0.046858</td>\n",
       "      <td>0.014208</td>\n",
       "      <td>01:09</td>\n",
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       "      <td>1</td>\n",
       "      <td>0.042434</td>\n",
       "      <td>0.023065</td>\n",
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   "source": [
    "learn = vision_learner(dls, resnet18, metrics=error_rate)\n",
    "learn.fine_tune(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5bc7c88a",
   "metadata": {},
   "outputs": [],
   "source": [
    "learn.export('model.pkl')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e8ccd1cf",
   "metadata": {},
   "outputs": [],
   "source": []
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