char_level_hot_encoding.ipynb

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    "colab": {
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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    {
      "cell_type": "code",
      "execution_count": 3,
      "metadata": {
        "id": "Sx1gYnohrLE1"
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      "source": [
        "import string\n",
        "import numpy as np"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "samples = ['The cat sat on the mat.', 'The dog ate my homework.']\n",
        "characters = string.printable\n",
        "token_index = dict(zip(range(1, len(characters) + 1), characters))\n"
      ],
      "metadata": {
        "id": "joc-cd3jrSKT"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "max_length = 50\n",
        "results = np.zeros((len(samples), max_length, max(token_index.keys()) + 1))\n",
        "for i, sample in enumerate(samples):\n",
        "  for j, character in enumerate(sample):\n",
        "    index = token_index.get(character)\n",
        "    results[i, j, index] = 1."
      ],
      "metadata": {
        "id": "IN6nNewDrVp8"
      },
      "execution_count": 5,
      "outputs": []
    },
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      "source": [],
      "metadata": {
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      "execution_count": 5,
      "outputs": []
    }
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