index.json

{
  "title": "Linear Regression with TensorFlow.js",
  "description": "In this challenge, I use the TensorFlow.js library to create an interactive demonstration of linear regression (with stochastic gradient descent!)",
  "videoNumber": "104",
  "videoId": "dLp10CFIvxI",
  "date": "2018-05-29",
  "languages": ["p5.js", "TensorFlow.js"],
  "topics": ["TensorFlow.js", "linear regression", "stochastic gradient descent"],
  "canContribute": true,
  "relatedChallenges": [
    "70-nearest-neighbors-recommendation-engine",
    "105-polynomial-regression-with-tensorflowjs",
    "106-xor-problem-with-tensorflowjs"
  ],
  "timestamps": [
    { "time": "0:00", "title": "Introduction" },
    { "time": "1:21", "title": "What is linear regression?" },
    { "time": "3:16", "title": "What do we need?" },
    { "time": "3:41", "title": "Loss function" },
    { "time": "4:48", "title": "Optimizer" },
    { "time": "5:26", "title": "Formula for line" },
    { "time": "8:02", "title": "Let's Code!" },
    { "time": "8:23", "title": "Add data set -- mouse clicks" },
    { "time": "9:16", "title": "Remap x, y to 0, 1" },
    { "time": "12:12", "title": "Randomly initialize m and b" },
    { "time": "13:10", "title": "tf.variable()" },
    { "time": "13:39", "title": "predict()" },
    { "time": "16:13", "title": "Optimizer & learning rate" },
    { "time": "17:25", "title": "Loss function" },
    { "time": "19:24", "title": "Minimize loss" },
    { "time": "22:53", "title": "What is the optimizer doing?" },
    { "time": "27:42", "title": "Visualize regression results" },
    { "time": "32:49", "title": "dataSync()" },
    { "time": "35:00", "title": "Adjust learning rate" },
    { "time": "35:35", "title": "Memory management" },
    { "time": "41:01", "title": "Improvements" }
  ],
  "codeExamples": [
    {
      "title": "Linear Regression",
      "description": "This sketch creates an interactive simulation of linear regression.",
      "image": "",
      "urls": { "p5": "https://editor.p5js.org/codingtrain/sketches/UtOWCSYYF" }
    }
  ],
  "groupLinks": [
    {
      "title": "References",
      "links": [
        {
          "icon": "💾",
          "title": "TensorFlow.js",
          "url": "https://www.tensorflow.org/js/",
          "description": "Webpage with reference materials and documentation about TensorFlow.js"
        },
        {
          "icon": "🐦",
          "title": "Kaustubh Olpadkar's tweet",
          "url": "https://twitter.com/olpadkar/status/997836558131650561",
          "description": "Kaustubh Olpadkar's interactive simulation of linear regression with TensorFlow and p5.js"
        }
      ]
    },
    {
      "title": "Videos",
      "links": [
        {
          "icon": "🚂",
          "title": "Linear Regression with Gradient Descent",
          "url": "https://youtu.be/L-Lsfu4ab74",
          "description": "In this video I continue my Machine Learning series and attempt to explain Linear Regression with Gradient Descent."
        },
        {
          "icon": "🚂",
          "title": "TensorFlow.js playlist",
          "url": "https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YIeVA3dNxbR9PYj4wV31oQ",
          "description": "TensorFlow.js - Intelligence and Learning"
        },
        {
          "icon": "🚂",
          "title": "Intelligence and Learning playlist",
          "url": "https://www.youtube.com/playlist?list=PLRqwX-V7Uu6YJ3XfHhT2Mm4Y5I99nrIKX",
          "description": "Part 2 of Nature of Code: \"Intelligence and Learning\" at ITP Spring 2017"
        },
        {
          "icon": "🚂",
          "title": "ES6 Arrow Function",
          "url": "/tracks/topics-in-native-javascript/js/arrow-functions",
          "description": "In this video, I cover anonymous functions with the arrow syntax in ES6 JavaScript."
        },
        {
          "icon": "🚂",
          "title": "JavaScript Promises",
          "url": "/tracks/topics-in-native-javascript/js/promises-part-1",
          "description": "What is a JavaScript Promise?"
        }
      ]
    },
    {
      "title": "Live Stream Archives",
      "links": [
        {
          "icon": "🔴",
          "title": "Coding Train Live 139",
          "url": "https://youtu.be/NZR-N_dhK2M?t=473s",
          "description": "Live Stream with Linear Regression with TensorFlow.js"
        }
      ]
    }
  ],
  "credits": [
    { "title": "Editing", "name": "Mathieu Blanchette" },
    { "title": "Animations", "name": "Jason Heglund" }
  ]
}