Tf_Forum_17056.ipynb

tf_forum_17056.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyNvQFd3nDYsHuXMfIwXJzep",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/gist/kiransair/a8ad25eae2ae10a06515f950e2acebe6/tf_forum_17056.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "_CVv7mkVIDcE"
      },
      "outputs": [],
      "source": [
        "import tensorflow as tf"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import json"
      ],
      "metadata": {
        "id": "cwzXvk48IFjF"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "data = [[0.147856,0.002688,0.108568,0.983028],\n",
        "        [0.148294,0.002196,0.107716,0.983056],\n",
        "        [0.148497,0.003929,0.107291,0.983067],\n",
        "        [0.150672,0.00348,0.106285,0.982847]]"
      ],
      "metadata": {
        "id": "SsU9yGsOIMfY"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "file_path = './test.json'"
      ],
      "metadata": {
        "id": "pSLQBisRIPH5"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "with open(file_path, 'w') as f:\n",
        "    json.dump(data, f)"
      ],
      "metadata": {
        "id": "IzWkMWjwIRYf"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "with open('/content/test.json', 'r') as f:\n",
        "  data = json.load(f)\n",
        "    "
      ],
      "metadata": {
        "id": "itP0FRIjIT4u"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dataset = tf.data.Dataset.from_tensor_slices(data)"
      ],
      "metadata": {
        "id": "_5AArPa9IZAx"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "_INvbMJYIbzN"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}