update links and track pages

Author: kfahn22

content/tracks/index.json

@@ -27,6 +27,7 @@
     "transformations-in-p5",
     "games",
     "web-sockets-and-p5js",
-    "webgl"
+    "webgl",
+    "archive"
   ]
 }

content/tracks/main-tracks/ml5js-beginners-guide/index.json

@@ -11,8 +11,7 @@
     {
       "title": "Classification",
       "videos": [
-        "ml5/1-classification/1-image-classification",
-        "ml5/1-classification/2-webcam-classification",
+        "ml5/1-classification/image-classification",
         "ml5/1-classification/3-object-detection",
         "ml5/9-doodleNet/1-doodleNet"
       ]

content/tracks/side-tracks/archive/index.json

@@ -0,0 +1,5 @@
+{
+  "title": "Archived Videos",
+  "description": "Folder for archived videos",
+  "videos": ["archive/1-image-classification", "archive/2-webcam-classification"]
+}

content/videos/archive/1-image-classification/index.json

@@ -1,6 +1,6 @@
 {
   "title": "Image Classification with MobileNet",
-  "description": "In this video, I use the \"pre-trained\" MobileNet model to classify the content of an image.",
+  "description": "This video covers the Image Classifier in ml5.js v0.12.2 which has now been deprecated. There is a new version of the video in the Beginner's Guide to Machine Learning in JavaScript track.",
   "videoNumber": "1.1",
   "videoId": "yNkAuWz5lnY",
   "date": "2018-08-01",
@@ -53,6 +53,12 @@
     {
       "title": "Videos",
       "links": [
+        {
+          "icon": "💻",
+          "title": "Image Classification",
+          "url": "/tracks/ml5js-beginners-guide/ml5/1-classification/image-classification",
+          "description": "New video about image classification with updated syntax."
+        },
         {
           "icon": "🚂",
           "title": "Workflow",

content/videos/archive/2-webcam-classification/index.json

@@ -1,6 +1,6 @@
 {
   "title": "Webcam Image Classification",
-  "description": "In this video, I discuss image classification with MobileNet using real-time video.",
+  "description": "This video covers image classifier with MobileNet using real-time video in ml5.js v0.12.2 which has now been deprecated. There is a new version of the video in the Beginner's Guide to Machine Learning in JavaScript track.",
   "videoNumber": "1.2",
   "videoId": "D9BoBSkLvFo",
   "date": "2018-08-02",
@@ -28,6 +28,12 @@
     {
       "title": "References",
       "links": [
+        {
+          "icon": "💻",
+          "title": "Image Classification",
+          "url": "/tracks/ml5js-beginners-guide/ml5/1-classification/image-classification",
+          "description": "New video about image classification with updated syntax."
+        },
         {
           "icon": "💻",
           "title": "ml5.js",

content/videos/ml5/1-classification/image-classification/index.json

@@ -18,31 +18,31 @@
     {
       "title": "Image Classification",
       "description": "Simple image classification using MobileNet.",
-      "image": "images/simple.png",
+      "image": "simple.png",
       "urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/A2W-0ayI5" }
     },
     {
       "title": "Image Classification with Webcam",
       "description": "Continuous image classification with webcam feed.",
-      "image": "images/webcam.png",
+      "image": "webcam.png",
       "urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/r9LjJqaw6" }
     },
     {
       "title": "Image Classification - Drag and Drop",
       "description": "Drag and drop an image in the canvas to classify it.",
-      "image": "images/drag.png",
+      "image": "drag.png",
       "urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/v1sAlvSHR" }
     },
     {
       "title": "Image Classification - Display label and confidence",
       "description": "Displays the label and confidence of the classification.",
-      "image": "images/conf.png",
+      "image": "conf.png",
       "urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/7zA6_MlIo" }
     },
     {
       "title": "Image Classification - Tint",
       "description": "Tints the image with a color based on the confidence.",
-      "image": "images/tint.png",
+      "image": "tint.png",
       "urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/uHN5htRpC" }
     }
   ],

content/videos/ml5/8-convolutional-neural-network/1-pixels-as-input/index.json

@@ -95,7 +95,7 @@
         {
           "icon": "🚂",
           "title": "Image Classification with MobileNet",
-          "url": "/tracks/ml5js-beginners-guide/ml5/1-classification/1-image-classification",
+          "url": "/tracks/ml5js-beginners-guide/ml5/1-classification/image-classification",
           "description": "In this video, I use the \"pre-trained\" MobileNet model to classify the content of an image."
         },
         {

content/videos/ml5/8-convolutional-neural-network/2-architecture-of-cnn/index.json

@@ -77,7 +77,7 @@
         {
           "icon": "🚂",
           "title": "Image Classification with MobileNet",
-          "url": "/tracks/ml5js-beginners-guide/ml5/1-classification/1-image-classification",
+          "url": "/tracks/ml5js-beginners-guide/ml5/1-classification/image-classification",
           "description": "In this video, I use the \"pre-trained\" MobileNet model to classify the content of an image."
         },
         {