{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LTXANauy0pjA"
      },
      "source": [
        "# Configuring go environment\n",
        "![](https://upload.wikimedia.org/wikipedia/commons/thumb/2/23/Go_Logo_Aqua.svg/1920px-Go_Logo_Aqua.svg.png)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iah_qbe6a2W2",
        "outputId": "0a5bed87-22a7-4c70-d1f8-01b088c5c320"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2025-12-19 14:35:05--  https://go.dev/dl/go1.21.1.linux-amd64.tar.gz\n",
            "Resolving go.dev (go.dev)... 216.239.34.21, 216.239.36.21, 216.239.38.21, ...\n",
            "Connecting to go.dev (go.dev)|216.239.34.21|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://dl.google.com/go/go1.21.1.linux-amd64.tar.gz [following]\n",
            "--2025-12-19 14:35:05--  https://dl.google.com/go/go1.21.1.linux-amd64.tar.gz\n",
            "Resolving dl.google.com (dl.google.com)... 74.125.204.136, 74.125.204.91, 74.125.204.190, ...\n",
            "Connecting to dl.google.com (dl.google.com)|74.125.204.136|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 66633012 (64M) [application/x-gzip]\n",
            "Saving to: ‘go1.21.1.linux-amd64.tar.gz’\n",
            "\n",
            "go1.21.1.linux-amd6 100%[===================>]  63.55M   270MB/s    in 0.2s    \n",
            "\n",
            "2025-12-19 14:35:06 (270 MB/s) - ‘go1.21.1.linux-amd64.tar.gz’ saved [66633012/66633012]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "!wget https://go.dev/dl/go1.21.1.linux-amd64.tar.gz\n",
        "!sudo rm -rf /usr/local/go\n",
        "!sudo tar -C /usr/local -xzf go1.21.1.linux-amd64.tar.gz\n",
        "!export PATH=$PATH:/usr/local/go/bin\n",
        "import os\n",
        "os.environ[\"PATH\"] += \":/usr/local/go/bin\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "2eRMu7LYbBIK"
      },
      "source": [
        "# Go file to create and train a neuron\n",
        "\n",
        "The goal is to create a single and simple neuron, which can find the good parameters to get a 5 as output for [1, 2] as input.\n",
        "\n",
        "Reminder: a neuron will compute an output by applying params on input (one param per input : here W1 for x1, w2 for x2) and a bias.\n",
        "The result should be used in an activation function to decide the value of the output. In order to make this exercice simple we disabled this function, so Y = w1x1 + w2x2 + b\n",
        "\n",
        "![simple_neuron.png](data:image/png;base64,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)\n",
        "\n",
        "## index\n",
        "\n",
        "**model** : the model of the neuron, it takes 2 inputs and return a value as output\n",
        "\n",
        "\n",
        "**erreur (loss)** : We call \"loss\" the error between the desired value (5 here) and the current value the model obtained during training\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 38,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4C-MRGDua_Xg",
        "outputId": "660c3386-4ee2-44fd-8956-c26ab5fc99ed"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Overwriting neurone.go\n"
          ]
        }
      ],
      "source": [
        "%%writefile neurone.go\n",
        "package main\n",
        "\n",
        "import (\n",
        "\t\"fmt\"\n",
        "\t\"math/rand\"\n",
        "  \"math\"\n",
        "\t\"time\"\n",
        "  \"os\"\n",
        "  \"log\"\n",
        ")\n",
        "\n",
        "// Initialize parameters and bias\n",
        "func initialisation() ([2]float64, float64) {\n",
        "\trand.New(rand.NewSource(time.Now().UnixNano()))\n",
        "\n",
        "\t// Box-Muller transform (normal law)\n",
        "\tnormal := func() float64 {\n",
        "\t\tu1 := rand.Float64()\n",
        "\t\tu2 := rand.Float64()\n",
        "\t\tz := math.Sqrt(-2.0 * math.Log(u1)) * math.Cos(2.0 * math.Pi * u2)\n",
        "\t\treturn z\n",
        "\t}\n",
        "\n",
        "\tW := [2]float64{normal(), normal()}\n",
        "\tb := normal()\n",
        "\n",
        "\treturn W, b\n",
        "}\n",
        "\n",
        "// Linear model : z = w1*x1 + w2*x2 + b\n",
        "func model(X [2]float64, W [2]float64, b float64) float64 {\n",
        "\tz := X[0]*W[0] + X[1]*W[1] + b\n",
        "\treturn z\n",
        "}\n",
        "\n",
        "// Cost function\n",
        "func loss(a, y float64) float64 {\n",
        "\treturn (y - a)\n",
        "}\n",
        "\n",
        "// Compute gradient\n",
        "func gap(a float64, X [2]float64, y float64) ([2]float64, float64) {\n",
        "\tdW := [2]float64{\n",
        "\t\t(y - a) * X[0],\n",
        "\t\t(y - a) * X[1],\n",
        "\t}\n",
        "\tdb := y - a\n",
        "\treturn dW, db\n",
        "}\n",
        "\n",
        "// Update weights (params)\n",
        "func update(dW [2]float64, db float64, W [2]float64, b float64, learningRate float64) ([2]float64, float64) {\n",
        "\tW[0] += learningRate * dW[0]\n",
        "\tW[1] += learningRate * dW[1]\n",
        "\tb += learningRate * db\n",
        "\n",
        "\treturn W, b\n",
        "}\n",
        "\n",
        "// Simple neuron\n",
        "func artificialNeuron(X [2]float64, y float64, learningRate float64, nIter int) ([2]float64, float64) {\n",
        "\n",
        "\t if X[0] <= 0 || X[1] <= 0 {\n",
        "        log.Fatalf(\"Error: input values (X) should be greater than 0 , received: %v\", X)\n",
        "    }\n",
        "    if y <= 0 {\n",
        "        log.Fatalf(\"Error: ouput desired value (y) should be greater than 0, received: %v\", y)\n",
        "    }\n",
        "    if learningRate <= 0 {\n",
        "        log.Fatalf(\"Error: learningRate should be greater than 0, received: %v\", learningRate)\n",
        "    }\n",
        "    if nIter <= 0 {\n",
        "        log.Fatalf(\"Error: nIter should be greater than 0, received: %v\", nIter)\n",
        "    }\n",
        "\n",
        "\tW, b := initialisation()\n",
        "\tfmt.Println(\"Initial W:\", W, \"b:\", b)\n",
        "\n",
        "\tlosses := make([]float64, 0, nIter)\n",
        "  accuracies := make([]float64, 0, nIter)\n",
        "\n",
        "\tfor i := 0; i < nIter; i++ {\n",
        "\t\tfmt.Printf(\"\\niteration %d-------------------------\\n\", i+1)\n",
        "\t\tfmt.Println(\"Current X:\", X)\n",
        "\t\tfmt.Println(\"Current W:\", W, \"b:\", b)\n",
        "\t\tyPred := model(X, W, b)\n",
        "\t\tlossVal := loss(yPred, y)\n",
        "\t\tlosses = append(losses, lossVal)\n",
        "    accuracyVal := yPred  * 100/y\n",
        "    fmt.Println(\"accuracy\", accuracyVal)\n",
        "    accuracies = append(accuracies, accuracyVal)\n",
        "\n",
        "\t\tdW, db := gap(yPred, X, y)\n",
        "\t\tW, b = update(dW, db, W, b, learningRate)\n",
        "\t\tfmt.Println(\"Updated W:\", W, \"b:\", b)\n",
        "\t}\n",
        "\n",
        "  exportData(losses, accuracies)\n",
        "\n",
        "\treturn W, b\n",
        "}\n",
        "\n",
        "func exportData(losses []float64, accuracies []float64) {\n",
        "  file, err := os.Create(\"metrics.csv\")\n",
        "  if err != nil {\n",
        "      panic(err)\n",
        "  }\n",
        "  defer file.Close()\n",
        "\n",
        "  // header\n",
        "  fmt.Fprintf(file, \"epoch,loss,accuracy\\n\")\n",
        "\n",
        "  // data written\n",
        "  for i := 0; i < len(losses); i++ {\n",
        "      fmt.Fprintf(file, \"%d,%.4f,%.4f\\n\", i+1, losses[i], accuracies[i])\n",
        "  }\n",
        "}\n",
        "\n",
        "func main() {\n",
        "\tX := [2]float64{1.0, 2.0}\n",
        "\ty := 5.0\n",
        "\tlearningRate := 0.1\n",
        "\tnIter := 10\n",
        "\n",
        "\tW, b := artificialNeuron(X, y, learningRate, nIter)\n",
        "\tfmt.Println(\"\\n\\nEnd-------------------\")\n",
        "\tfmt.Println(\"Final weights (params) :\", W, \"Final bias :\", b)\n",
        "  y_pred := model(X, W, b)\n",
        "  fmt.Println(\"Prediction :\",y_pred)\n",
        "}"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UavSRi-PaRv4"
      },
      "source": [
        "# Running the neuron file to create and train our neuron"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 44,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xXFv6b4yeeNh",
        "outputId": "0d7c3a60-2106-4584-b278-ef2e5e1cbaa3"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Initial W: [-0.7639828855477203 -0.23618327598412134] b: 1.242355565991255\n",
            "\n",
            "iteration 1-------------------------\n",
            "Current X: [1 2]\n",
            "Current W: [-0.7639828855477203 -0.23618327598412134] b: 1.242355565991255\n",
            "accuracy 0.12012256950584277\n",
            "Updated W: [-0.2645834983952495 0.7626154983208203] b: 1.741754953143726\n",
            "\n",
            "iteration 2-------------------------\n",
            "Current X: [1 2]\n",
            "Current W: [-0.2645834983952495 0.7626154983208203] b: 1.741754953143726\n",
            "accuracy 60.04804902780235\n",
            "Updated W: [-0.06482374353426118 1.1621350080427968] b: 1.9415147080047142\n",
            "\n",
            "iteration 3-------------------------\n",
            "Current X: [1 2]\n",
            "Current W: [-0.06482374353426118 1.1621350080427968] b: 1.9415147080047142\n",
            "accuracy 84.01921961112092\n",
            "Updated W: [0.015080158410134187 1.3219428119315875] b: 2.0214186099491096\n",
            "\n",
            "iteration 4-------------------------\n",
            "Current X: [1 2]\n",
            "Current W: [0.015080158410134187 1.3219428119315875] b: 2.0214186099491096\n",
            "accuracy 93.60768784444836\n",
            "Updated W: [0.04704171918789237 1.3858659334871037] b: 2.053380170726868\n",
            "\n",
            "iteration 5-------------------------\n",
            "Current X: [1 2]\n",
            "Current W: [0.04704171918789237 1.3858659334871037] b: 2.053380170726868\n",
            "accuracy 97.44307513777936\n",
            "Updated W: [0.059826343498995536 1.41143518210931] b: 2.066164795037971\n",
            "\n",
            "iteration 6-------------------------\n",
            "Current X: [1 2]\n",
            "Current W: [0.059826343498995536 1.41143518210931] b: 2.066164795037971\n",
            "accuracy 98.97723005511175\n",
            "Updated W: [0.0649401932234368 1.4216628815581926] b: 2.0712786447624123\n",
            "\n",
            "iteration 7-------------------------\n",
            "Current X: [1 2]\n",
            "Current W: [0.0649401932234368 1.4216628815581926] b: 2.0712786447624123\n",
            "accuracy 99.5908920220447\n",
            "Updated W: [0.06698573311321336 1.4257539613377457] b: 2.073324184652189\n",
            "\n",
            "iteration 8-------------------------\n",
            "Current X: [1 2]\n",
            "Current W: [0.06698573311321336 1.4257539613377457] b: 2.073324184652189\n",
            "accuracy 99.83635680881788\n",
            "Updated W: [0.06780394906912397 1.4273903932495668] b: 2.0741424006080997\n",
            "\n",
            "iteration 9-------------------------\n",
            "Current X: [1 2]\n",
            "Current W: [0.06780394906912397 1.4273903932495668] b: 2.0741424006080997\n",
            "accuracy 99.93454272352714\n",
            "Updated W: [0.06813123545148825 1.4280449660142953] b: 2.074469686990464\n",
            "\n",
            "iteration 10-------------------------\n",
            "Current X: [1 2]\n",
            "Current W: [0.06813123545148825 1.4280449660142953] b: 2.074469686990464\n",
            "accuracy 99.97381708941086\n",
            "Updated W: [0.06826215000443395 1.4283067951201867] b: 2.07460060154341\n",
            "\n",
            "\n",
            "End-------------------\n",
            "Final weights (params) : [0.06826215000443395 1.4283067951201867] Final bias : 2.07460060154341\n",
            "Prediction : 4.999476341788217\n"
          ]
        }
      ],
      "source": [
        "!go run neurone.go"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5Az-tW_UaWoR"
      },
      "source": [
        "# Use python to retrieve learning data and trace training metrics (loss and accuracy)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 45,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 487
        },
        "id": "yFTnxwz4haC9",
        "outputId": "91248fbb-bac6-4a65-de00-d2035cba7ef0"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Lire le fichier CSV créé par Go\n",
        "df = pd.read_csv(\"metrics.csv\")\n",
        "\n",
        "# Tracer loss et accuracy\n",
        "plt.figure(figsize=(10,5))\n",
        "plt.plot(df['epoch'], df['loss'], label='Loss')\n",
        "#plt.plot(df['epoch'], df['accuracy'], label='Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Value')\n",
        "plt.title('Training Metrics')\n",
        "plt.legend()\n",
        "plt.grid(True)\n",
        "plt.show()"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}