{
  "docId": "019de510-3cb7-710c-a554-bc0e678b52b5",
  "docSlug": "a11daa20b53aa56d9291be8f9a8786d5",
  "documentTitle": "NVIDIA | Investor Presentation Deck | 69 slides",
  "authorId": "nvidia",
  "authorName": "NVIDIA",
  "documentKindSlug": "conference-presentation",
  "documentKindLabel": "Conference presentation",
  "sourceTypeSlug": "investor_relations",
  "sourceTypeLabel": "Investor relations",
  "presentationDate": "2020-12-01 00:00:00",
  "orientation": "landscape",
  "aspectRatio": 1.7777778,
  "pageNumber": 29,
  "pageCount": 69,
  "prevPage": 28,
  "nextPage": 30,
  "slideType": "other",
  "function": "present_framework",
  "density": "balanced",
  "nDataPoints": 0,
  "notes": "The diagram depicts the adversarial training process where the Discriminator is fed either real images or fake images generated from a latent variable.",
  "elementsJson": null,
  "metadataConfidence": 1,
  "imagePath": null,
  "slideHref": "/slides/019de510-3cb7-710c-a554-bc0e678b52b5/29",
  "deckHref": "/decks/019de510-3cb7-710c-a554-bc0e678b52b5",
  "deckJsonHref": "/decks/019de510-3cb7-710c-a554-bc0e678b52b5.json",
  "deckAnchorHref": "/decks/019de510-3cb7-710c-a554-bc0e678b52b5#slide-29",
  "components": [
    {
      "bbox": {
        "h": 0.4,
        "w": 0.5,
        "x": 0.25,
        "y": 0.3
      },
      "kind": "diagram",
      "text": "Generator and Discriminator architecture",
      "attrs": null,
      "subkind": "process",
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "abbd6334-4857-4ad0-a72e-7d947f035c5d",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.1,
        "x": 0.15,
        "y": 0.85
      },
      "kind": "subtitle",
      "text": "Real Images",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "076450b7-c0be-4f0c-a5c0-1bfe85915300",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.1,
        "x": 0.75,
        "y": 0.55
      },
      "kind": "subtitle",
      "text": "Real or Fake?",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "66447946-e94a-4b01-9046-83e97c1feecc",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.1,
        "x": 0.75,
        "y": 0.2
      },
      "kind": "subtitle",
      "text": "Fake Image",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "d7915fa8-2dd1-4e5b-bd7e-5a7c04aa7523",
      "frameworkName": null,
      "frameworkSlug": null
    },
    {
      "bbox": {
        "h": 0.05,
        "w": 0.1,
        "x": 0.15,
        "y": 0.5
      },
      "kind": "subtitle",
      "text": "Latent Variable",
      "attrs": null,
      "subkind": null,
      "toolName": null,
      "toolSlug": null,
      "confidence": null,
      "componentId": "fc75c64c-5d54-41ab-898d-143a802dd698",
      "frameworkName": null,
      "frameworkSlug": null
    }
  ],
  "metrics": [],
  "tools": [],
  "frameworks": [
    {
      "name": "Generative Adversarial Network",
      "slug": null,
      "matchId": "46e124f1-fde8-4b96-be22-683a2468a1c1",
      "evidence": "Standard GAN architecture diagram",
      "confidence": 1
    }
  ],
  "arcBeats": [],
  "loops": [],
  "imagePathAlt": null,
  "thumbSrc": null,
  "thumbSrcAlt": null,
  "locked": true
}