Removed pipe pic

Author: Yongyao Jiang

guide/14-deep-learning/how-ssd-works.ipynb

@@ -130,8 +130,8 @@
     "\n",
     "Not all objects are square in shape. Some are longer and some are wider, by varying degrees. The SSD architecture allows pre-defined aspect ratios of the anchor boxes to account for this. The ratios parameter can be used to specify the different aspect ratios of the anchor boxes associates with each grid cell at each zoom/scale level.\n",
     "\n",
-    "<img src=\"img/aspect.png\" height=\"700\" width=\"700\">\n",
-    "<center>Figure 6. Example of why we need to set aspect ratio</center>\n",
+    "<img src=\"img/aspect_ratio.png\" height=\"350\" width=\"350\">\n",
+    "<center>Figure 6. The bounding box of building 1 is higher, while the bouding box for building 2 is wider</center>\n",
     "\n",
     "\n",
     "#### Zoom level\n",
@@ -179,13 +179,6 @@
     "- [3] Zeiler, Matthew D., and Rob Fergus. \"Visualizing and understanding convolutional networks.\" In European conference on computer vision, pp. 818-833. springer, Cham, 2014.\n",
     "- [4] Dang Ha The Hien. A guide to receptive field arithmetic for Convolutional Neural Networks. https://medium.com/mlreview/a-guide-to-receptive-field-arithmetic-for-convolutional-neural-networks-e0f514068807"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {