diff --git a/practical-deep-learning-for-coders/lesson-2/bear_classifier.ipynb b/practical-deep-learning-for-coders/lesson-2/bear_classifier.ipynb
index df89132..214e09b 100644
--- a/practical-deep-learning-for-coders/lesson-2/bear_classifier.ipynb
+++ b/practical-deep-learning-for-coders/lesson-2/bear_classifier.ipynb
@@ -11,7 +11,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -115,12 +115,13 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"from pathlib import Path\n",
- "data_set_path = Path('bears')"
+ "data_set_path = Path('bears')\n",
+ "bear_types = 'grizzly', 'black', 'teddy'"
]
},
{
@@ -131,8 +132,6 @@
"source": [
"from fastai.vision.utils import download_images\n",
"\n",
- "bear_types = 'grizzly', 'black', 'teddy'\n",
- "\n",
"for bear_type in bear_types:\n",
" destination = data_set_path/bear_type\n",
" destination.mkdir(exist_ok = True)\n",
@@ -180,7 +179,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -223,7 +222,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -269,10 +268,10 @@
"
\n",
" \n",
" 0 | \n",
- " 1.775698 | \n",
- " 0.452870 | \n",
- " 0.185185 | \n",
- " 00:11 | \n",
+ " 1.710603 | \n",
+ " 0.319241 | \n",
+ " 0.134615 | \n",
+ " 00:12 | \n",
"
\n",
" \n",
""
@@ -327,31 +326,31 @@
" \n",
" \n",
" 0 | \n",
- " 0.647827 | \n",
- " 0.233713 | \n",
- " 0.111111 | \n",
+ " 0.711279 | \n",
+ " 0.173566 | \n",
+ " 0.057692 | \n",
" 00:10 | \n",
"
\n",
" \n",
" 1 | \n",
- " 0.504331 | \n",
- " 0.249407 | \n",
- " 0.055556 | \n",
+ " 0.598342 | \n",
+ " 0.062218 | \n",
+ " 0.019231 | \n",
" 00:10 | \n",
"
\n",
" \n",
" 2 | \n",
- " 0.387142 | \n",
- " 0.229750 | \n",
- " 0.055556 | \n",
+ " 0.441228 | \n",
+ " 0.045272 | \n",
+ " 0.019231 | \n",
" 00:10 | \n",
"
\n",
" \n",
" 3 | \n",
- " 0.331931 | \n",
- " 0.204678 | \n",
- " 0.055556 | \n",
- " 00:10 | \n",
+ " 0.366147 | \n",
+ " 0.045772 | \n",
+ " 0.038462 | \n",
+ " 00:09 | \n",
"
\n",
" \n",
""
@@ -371,7 +370,7 @@
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -450,7 +449,7 @@
},
{
"data": {
- "image/png": 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",
+ "image/png": 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",
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