Update weather-image-classification-pytorch.ipynb

aws · Nov 24, 2021 · 03a771c · 03a771c
1 parent 96595cc
commit 03a771c
Showing 1 changed file with 5 additions and 4 deletions.
diff --git a/computer-vision/weather-image-classification-pytorch.ipynb b/computer-vision/weather-image-classification-pytorch.ipynb
@@ -5,6 +5,7 @@
    "metadata": {},
    "source": [
     "# Weather Classification for Disaster Risk Reduction with DenseNet-161\n",
+    "[![Open In Studio Lab](https://studiolab.sagemaker.aws/studiolab.svg)](https://studiolab.sagemaker.aws/import/github/aws/studio-lab-examples/blob/main/computer-vision/weather-image-classification.ipynb)",
     "\n",
     "Today we are going to work with weather image dataset and build an image classification model with Pytorch. We hope this can be useful in responding to natural disasters. \n",
     "\n",
@@ -129,7 +130,7 @@
    },
    "outputs": [],
    "source": [
-    "!unzip \"archive (1).zip\""
+    "!unzip \"archive .zip\""
    ]
   },
   {
@@ -277,7 +278,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 3. dataset normalization\n",
+    "## 3. Dataset Normalization\n",
     "This is a utility function to find out MEAN & STD for Normalizing Training Data"
    ]
   },
@@ -377,7 +378,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 4. load the DenseNet-161"
+    "## 4. Load the DenseNet-161"
    ]
   },
   {
@@ -667,7 +668,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## 7.show predictions graphs and confusion metrix\n",
+    "## 7. Show predictions graphs and confusion metrix\n",
     "- [Confusion matrix](https://en.wikipedia.org/wiki/Confusion_matrix): In the field of machine learning and specifically the problem of statistical classification, a confusion matrix, also known as an error matrix, is a specific table layout that allows visualization of the performance of an algorithm, typically a supervised learning one."
    ]
   },