NeuralNetwork_basic

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    "colab": {
      "name": "Untitled69.ipynb",
      "provenance": []
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    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
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  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "dYV9MhvIQAdY"
      },
      "source": [
        "import numpy as np"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IWxwmNVrQHjq"
      },
      "source": [
        "\n",
        "X = np.array([1.0, 0.5])"
      ],
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wm4F9UEXQCYp",
        "outputId": "feb7e77d-96be-4194-f7d0-90607b996cb9",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "\n",
        "X.shape"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2,)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
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        "outputId": "f7e5783a-6f7f-4b80-db3a-481b1d80a397",
        "colab": {
          "base_uri": "https://localhost:8080/"
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      },
      "source": [
        "X"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1. , 0.5])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "gj8Itnm5QE4A"
      },
      "source": [
        "W1 = np.array([[0.1, 0.3, 0.5], [0.2, 0.4, 0.6]])"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
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        "id": "Jn_a2-8iQM4G",
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        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "W1.shape"
      ],
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LKu0ovbtQOf8",
        "outputId": "0097795d-c769-4d80-936d-6af12ba92252",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "\n",
        "W1"
      ],
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[0.1, 0.3, 0.5],\n",
              "       [0.2, 0.4, 0.6]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 10
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "VJ0PF0piQNku"
      },
      "source": [
        "a1 = np.dot(X, W1)"
      ],
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F8nG_ofOQQYo",
        "outputId": "3b27d19a-1af3-4224-8610-87f1673fa416",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "a1.shape"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3,)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Pp0S8-bjQRjX",
        "outputId": "12fa6f98-974f-4a8d-b642-23d862d22354",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "a1"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0.2, 0.5, 0.8])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EXWw7Z5MQTll",
        "outputId": "554c4863-19e8-4dc7-8f19-c8e73664cd9d",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "1.0 * 0.1 + 0.5 * 0.2"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.2"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "mQmkNqRLQSQn"
      },
      "source": [
        "b1 = np.array([0.1, 0.2, 0.3])"
      ],
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IeFzH0xmQVKg"
      },
      "source": [
        "a1 = np.dot(X, W1) + b1"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PMGSk2IWQWLK",
        "outputId": "02387e6b-80c1-4e9d-c39a-b15d3401f1ea",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(a1)"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[0.3 0.7 1.1]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4NVp6KJEQXX3"
      },
      "source": [
        "x1 = np.array([[1, 2 ], [3, 4]])\n",
        "x2 = np.array([[5, 6 ], [7, 8]])"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wFyqP1THQY3r",
        "outputId": "5749579c-2093-4c43-f2b7-4887874c695a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(x1)"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[1 2]\n",
            " [3 4]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
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        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "print(x2)"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[5 6]\n",
            " [7 8]]\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
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        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "x1.shape"
      ],
      "execution_count": 21,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 2)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
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        "id": "tXASL7qTQbht",
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          "base_uri": "https://localhost:8080/"
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      "source": [
        "x2.shape"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "execute_result",
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            "text/plain": [
              "(2, 2)"
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      "source": [
        "np.dot(x1, x2)"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[19, 22],\n",
              "       [43, 50]])"
            ]
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            "tags": []
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          "execution_count": 24
        }
      ]
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    {
      "cell_type": "code",
      "metadata": {
        "id": "TV5haMlxQhkS"
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      "source": [
        "x1 = np.array([[1, 2 ]])\n",
        "x2 = np.array([[5, 6 ], [7, 8]])"
      ],
      "execution_count": 26,
      "outputs": []
    },
    {
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        "x1.shape"
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      "execution_count": 28,
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            "text/plain": [
              "(1, 2)"
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          },
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          "execution_count": 28
        }
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        "colab": {
          "base_uri": "https://localhost:8080/"
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      "source": [
        "x2.shape"
      ],
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2, 2)"
            ]
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          "execution_count": 29
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    {
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        "outputId": "e14f3b34-ba26-4547-9b06-9b8f370e61fd",
        "colab": {
          "base_uri": "https://localhost:8080/"
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      },
      "source": [
        "np.dot(x1, x2)"
      ],
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[19, 22]])"
            ]
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          "execution_count": 30
        }
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      "source": [
        ""
      ],
      "execution_count": null,
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}