{
  "schemaVersion": 1,
  "lessonId": "networks-01",
  "contentHash": "ad4066cdd0c2addbba6417f189b99f4fa4b7de66a73aeb3ab2fbc5ebdd65dbc0",
  "executedAt": "2026-10-20T10:46:11.350755+00:00",
  "environment": {
    "backend": "cpu",
    "deviceCount": 1,
    "python": "3.14.3",
    "jax": "0.9.2",
    "numpy": "2.4.4",
    "matplotlib": "3.10.8"
  },
  "stdout": "Training loss: 0.7047799825668335 -> 0.0015878621488809586 held-out accuracy: 1.0\nTraining loss: 0.7047799825668335 -> 0.0015878621488809586 held-out accuracy: 1.0\nConsistent hidden permutation preserves logits; one-sided permutation changes them.\nPASS: networks-01\n",
  "notebookCells": [
    {
      "sourceHash": "50e6b76f170166de91ae6533896685fc8eb919a2593a16a5cb653fb13f413ce9",
      "outputs": []
    },
    {
      "sourceHash": "545096689a58574040ff590bbfd0d197eafc01d9465dae9e0f0f3ceb327237a6",
      "outputs": []
    },
    {
      "sourceHash": "a6b977dd32be463cf858844538f7411c8c9c34276374dc0b65b1d65cd20fdf4b",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training loss: 0.7047799825668335 -> 0.0015878621488809586 held-out accuracy: 1.0\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "7a4cb0b84e75dae8ee21af2f80a01e1e3ac9584502d65d000b22f98dc67d360a",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training loss: 0.7047799825668335 -> 0.0015878621488809586 held-out accuracy: 1.0\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "800d2d1ea6de74d07257b0728e06e7d72f8f2c3206f7b9607e7e0dd60c5ff6cb",
      "outputs": []
    },
    {
      "sourceHash": "25df6d662f9d3f0c4e984c6a201f79fa0cfd7a2633dc4b0773dfba6c2dd4ee6c",
      "outputs": [
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
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Pxg+Svb/8Zp47uhk5Akra0mfy9P9KlarZ3xsAAKAgaAEDAICXi23bQuYtmSWPPPaAXN/4WgkLC5Pjx09IQECA1K5Ty7TIGPXaM/Lk0IE5Xle1WmWZ+clk6dajkx2M0Nc0u/kGeW3sC/LUc9nBH1caN7lO3pz8qmlJUy4iXI4eSTVBFJ3OZZ7LMYxz4sw3pU/fHibRrwZr9HPatm8l02a9KR3vvLVIjoMGdca8+R95a8po8546opO26tEgkg5hrV22HnwkXj76bGqBgy9KAysfzp0i/f/1D6l79VUmkKRTnXq15eGBfzfrCL4AAIDCogUMAAAAAACAm9ECBgAAAAAAwM0IwAAAAAAAALgZARgAAAAAAAA3IwADAAAAAADgZgRgAAAAAAAA3IwADAAAAAAAgJsRgAEAAAAAAHAzAjAAAAAAAABuRgAGAAAAAADAzQjAAAAAAAAAiHv9Pz5IcUcsdESbAAAAAElFTkSuQmCC",
            "text/plain": [
              "Executed Matplotlib figure"
            ]
          }
        }
      ]
    },
    {
      "sourceHash": "8465887433f461d77477b07a6dcb9a45d92a61c5308721ccff9f1d97e5347722",
      "outputs": []
    },
    {
      "sourceHash": "90c7291a92aa9271aeda07f36972c58c6efc64cdf5e9629761c41c9aa6784ff5",
      "outputs": []
    },
    {
      "sourceHash": "e369c4884e018c64cd2e2303a19ea84f28bc1501f3da1642e56850b962b4e281",
      "outputs": []
    },
    {
      "sourceHash": "ae24a8e396dd65fa71f2deba11861d5c6fd724e35d3d86756850748ce22f0b82",
      "outputs": []
    },
    {
      "sourceHash": "8663391ec0eb7f79dd7d33a88db2cb9a233c44fe9915f46c94e26d5cdb26578b",
      "outputs": []
    },
    {
      "sourceHash": "8448cf0e5beaf2c79f7e55b524e7010e1ecad29219c7b8a4f061e8904e6a912e",
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Consistent hidden permutation preserves logits; one-sided permutation changes them.\n"
          ]
        }
      ]
    },
    {
      "sourceHash": "109f8252d15fded8794c4f30da7c1d64d2f705076de42eb258ced5f4219cab0b",
      "outputs": []
    },
    {
      "sourceHash": "fd9f43c64505e5769444abf49e53b4a61419676acd2444c9839085b68197f334",
      "outputs": []
    }
  ],
  "scope": "Recorded instructor reference run; all script assertions and notebook code cells passed. No accelerator performance claim."
}
