{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "LinearRegression.ipynb", "provenance": [], "collapsed_sections": [] }, "kernelspec": { "name": "python3", "display_name": "Python 3" } }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "AFLipvvQW_kf" }, "source": [ "Getting started with Linear Regression. We will create our own model, generate data, train and test the model." ] }, { "cell_type": "code", "metadata": { "id": "UHwvytOdXDZf" }, "source": [ "#Import required Libraries\r\n", "import tensorflow as tf\r\n", "import numpy as np\r\n", "import matplotlib.pyplot as plt" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "Zr3wmP-8XHlQ" }, "source": [ "Now we will define model and loss function" ] }, { "cell_type": "code", "metadata": { "id": "dM-NPF3vXKJA" }, "source": [ "# Define a Linear model\r\n", "class LinearModel(object):\r\n", " def __init__(self):\r\n", " self.W = tf.Variable(12.0)\r\n", " self.b = tf.Variable(-6.1)\r\n", "\r\n", " def __call__(self, inputs):\r\n", " return self.W * inputs + self.b\r\n", "\r\n", "#Define Loss Function\r\n", "def compute_loss(y_true, y_pred):\r\n", " return tf.reduce_mean(tf.square(y_true-y_pred))" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "36YQ8AixXPBP" }, "source": [ "Initialize our linear regression model.\r\n" ] }, { "cell_type": "code", "metadata": { "id": "3SiDIaMiXQ4-" }, "source": [ "#Instantiate Linear Regression Model\r\n", "model = LinearModel()" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "PkhwpIm_XTyQ" }, "source": [ "Define weight and bias for the model" ] }, { "cell_type": "code", "metadata": { "id": "IRy_DdkQXXYA" }, "source": [ "# Define the weight and bias\r\n", "weight = 2.5\r\n", "bias = 1.0" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "wGy-zhnSXbHf" }, "source": [ "Prepare Training Data" ] }, { "cell_type": "code", "metadata": { "id": "nBSqejoTXdGX" }, "source": [ "# Generate Data\r\n", "data = 100\r\n", "inputs = tf.random.normal(shape=[data])\r\n", "noise = tf.random.normal(shape=[data])\r\n", "outputs = inputs * weight + bias + noise" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "tiq4RvM7cHVk" }, "source": [ "Check Generated data:\r\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "oPcQJFvDcKHw", "outputId": "f51ad47f-bbae-48a0-926f-a1a039d3229b" }, "source": [ "print(inputs)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "tf.Tensor(\n", "[-0.17303225 0.72343445 0.81426215 -0.5359193 -0.95403624 -0.22917768\n", " -0.79008317 -0.08185846 -1.6224371 -0.6139612 -0.66421616 -0.40998897\n", " -0.34884036 0.15149939 -1.7548791 -0.48060787 1.1515253 0.12898456\n", " 1.0392032 -0.86635333 -1.1056232 -1.6065754 0.5273916 0.97588295\n", " 0.27644253 1.1893175 -1.2467552 -1.023515 -0.30588424 1.4679068\n", " 0.05805097 -0.03816085 -0.22184801 0.1291878 -0.6450317 0.7399955\n", " -0.37367532 0.27164093 1.3255904 2.0360503 -0.14865525 -0.8059781\n", " -0.7238152 -0.42437685 0.71907294 -2.2718859 -1.6046702 1.3537974\n", " 0.08530638 -0.54045624 -0.47337964 -0.65880704 -0.65023214 -1.8648076\n", " 0.0033409 -0.61828625 0.426593 0.15705718 0.610285 1.7585132\n", " 1.7067244 -0.19043572 -0.36923862 0.01207103 -1.5467049 0.67104673\n", " 1.5154167 1.7699486 -1.0536985 -0.5592533 -0.02163626 -0.28967485\n", " 0.75563955 0.10286511 -0.18765993 0.23313382 0.29353103 0.5020437\n", " -0.18337193 1.1771797 1.1600322 -1.3893766 -0.8468657 0.1641731\n", " 0.7789857 -0.38899723 1.689848 0.59310305 -1.0317752 -0.09354992\n", " -0.52664214 0.19845478 -0.58474547 0.5614943 -0.22177793 2.3457031\n", " 0.8077128 -1.4255487 0.41252092 0.93306476], shape=(100,), dtype=float32)\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "MgDiv78jcXcR" }, "source": [ "Print noise data:\r\n" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "2DRL8vLqcahx", "outputId": "d4724707-7698-4d47-d751-215f15ade4e7" }, "source": [ "print(noise)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "tf.Tensor(\n", "[ 1.1061269 -0.38086995 -1.2955804 1.0186349 -0.78145856 -0.10662659\n", " -0.5114224 1.9743788 -1.3420985 -0.09979859 -2.2529564 0.60916996\n", " -0.4092762 1.5899526 0.85865164 0.7307884 -1.7724155 -0.20580043\n", " -0.32146242 0.15664591 -0.15722242 -2.138311 1.1733923 1.6789023\n", " 0.15404138 0.35311067 0.16819613 -0.8352005 -0.39173773 1.9558362\n", " -0.8843072 -0.18896618 0.08706413 -1.780014 -1.2062904 -0.2163473\n", " 0.45273516 -0.20677303 0.09265197 2.3558471 0.7593621 1.1937543\n", " -1.2571987 0.33302343 0.09168836 1.7559623 0.44729665 0.70347697\n", " 1.3958278 -0.8752659 -1.487305 -0.36152974 0.99492675 0.69779515\n", " 0.4797631 -0.62506443 2.069901 -0.1949671 1.3889585 0.00350289\n", " -0.96051234 -0.14710644 -0.9026359 -0.32853493 -0.53436166 1.4990956\n", " -0.75221163 -0.19466716 -0.8760336 1.5156262 0.3725791 0.49226117\n", " -1.2052602 -0.7490515 0.37497428 -0.31821868 0.08715909 0.5975824\n", " 0.40314555 -0.9537033 -0.14749573 -0.13073462 -0.49356762 0.9942684\n", " -0.40250883 -2.7029479 -0.10158664 -0.9260655 -0.3657002 1.7386448\n", " -0.10513742 -0.27374977 0.18755813 0.84529835 -1.4114133 -0.7494755\n", " 1.0227283 -0.51049536 0.98166347 2.089327 ], shape=(100,), dtype=float32)\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "sppqmnekcf5q" }, "source": [ "Print outputs:" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "s1UdXqVJch_q", "outputId": "bf66c3c9-0257-440f-c186-cb2526f9b7dd" }, "source": [ "print(outputs)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "tf.Tensor(\n", "[ 1.6735463 2.4277163 1.7400751 0.6788367 -2.1665492 0.3204292\n", " -1.4866303 2.7697327 -4.3981915 -0.6347016 -2.9134967 0.5841975\n", " -0.28137708 2.968701 -2.5285463 0.5292687 2.1063976 1.116661\n", " 3.2765455 -1.0092374 -1.9212805 -5.1547494 3.4918714 5.1186094\n", " 1.8451477 4.3264046 -1.948692 -2.393988 -0.15644833 6.6256037\n", " 0.2608202 0.7156317 0.5324441 -0.45704448 -1.8188696 2.6336415\n", " 0.5185468 1.4723293 4.4066277 8.445973 1.3877239 0.17880905\n", " -2.0667367 0.27208126 2.8893707 -2.9237523 -2.5643787 5.0879707\n", " 2.6090937 -1.2264066 -1.6707542 -1.0085473 0.36934644 -2.9642236\n", " 1.4881153 -1.17078 4.1363835 1.1976758 3.914671 5.399786\n", " 4.3062987 0.37680426 -0.8257324 0.70164263 -3.4011238 4.1767125\n", " 4.03633 5.230204 -2.51028 1.117493 1.3184885 0.76807404\n", " 1.6838387 0.5081113 0.9058244 1.2646158 1.8209866 2.8526917\n", " 0.94471574 2.989246 3.7525847 -2.6041763 -1.610732 2.4047012\n", " 2.5449555 -2.6754408 5.123033 1.5566921 -1.9451385 2.50477\n", " -0.42174274 1.2223871 -0.27430552 3.249034 -0.96585816 6.1147823\n", " 4.0420103 -3.074367 3.012966 5.421989 ], shape=(100,), dtype=float32)\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "LkVEwPuAXgBm" }, "source": [ "Define the data visualizatin function to be used to display graph during training." ] }, { "cell_type": "code", "metadata": { "id": "_GNNuIOhXiCw" }, "source": [ "# Model visualization function to generate graph during training\r\n", "def plot(epoch):\r\n", " plt.scatter(inputs, outputs, c='b')\r\n", " #plt.scatter(inputs, model(inputs), c='m') \r\n", " plt.plot(inputs, model(inputs), c='r', label ='Fitted line') \r\n", " plt.title(\"epoch %2d, loss = %s\" %(epoch, str(compute_loss(outputs, model(inputs)).numpy())))\r\n", " plt.legend()\r\n", " plt.draw()\r\n", " plt.ion()\r\n", " plt.pause(1)\r\n", " plt.close()" ], "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "metadata": { "id": "apJ16nDDXnmf" }, "source": [ "Training Loop" ] }, { "cell_type": "code", "metadata": { "id": "Fw6kGRWSXo1_", "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "a8497548-b5fd-4bab-8091-823cd9293261" }, "source": [ "Ws, bs = [], []\r\n", "\r\n", "epochs = range(30)\r\n", "\r\n", "# Define a training loop\r\n", "learning_rate = 0.1\r\n", "for epoch in epochs:\r\n", " with tf.GradientTape() as tape:\r\n", " loss = compute_loss(outputs, model(inputs))\r\n", "\r\n", " dW, db = tape.gradient(loss, [model.W, model.b])\r\n", "\r\n", " Ws.append(model.W.numpy())\r\n", " bs.append(model.b.numpy())\r\n", "\r\n", " model.W.assign_sub(learning_rate * dW)\r\n", " model.b.assign_sub(learning_rate * db)\r\n", "\r\n", " print(\"=> epoch %2d: w_true= %.2f, w_pred= %.2f; b_true= %.2f, b_pred= %.2f, loss= %.2f\" %(\r\n", " epoch+1, weight, model.W.numpy(), bias, model.b.numpy(), loss.numpy()))\r\n", " if (epoch) % 2 == 0: plot(epoch + 1)" ], "execution_count": null, "outputs": [ { "output_type": "stream", "text": [ "=> epoch 1: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 2: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 3: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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8NWOWkzIxnKW8Hwij7pOaT7xcSdXIvwF8GRiIO8HM5plZn5n1rV27NqHbikgzKHd+k0Snnn3LW3J6o/zwe9uY3DE4eLKjI0yhUuu0T1rZgdzMPgC87O4PDHeeuy909znuPmfKlCnDnSoiLabc+U0SSc1s3RoC+KOPDu476ihw5+RPjGLduvAh4Q7r1tVPEIdkGjvfDnzQzI4DxgITzGyxu5+SwLVFpAXELVpcaLAsOzWT3R8cQsRuEGXXyN39PHffx927gI8CdymIi0ixyllBp+TUzHnn5QbxdH6mgagfuYg0vLjUzHHHDdMAagaXXjr0Te6x0b9e+7lDHc1+KCJSjt7ewdTMpEmwZQu89trQc9rb4bXN+dMomdeaOjV8IFx//dA8fHt7sgsoF0JLvYlIwyik9pt9DoSUzA9+AP39uUH8c3wrN4j/4heRQTy7B8zVV9dpP/cUzbUiInWlkFGeUeeceir87newdGlu0HUKb8yM6gETl7goax3PBCm1IiJ1pZBV7OPOMRsadKMCeFen77pOlBEjCm/rzCxTNSi1IiINoZCuhHHnuENbG7yde3KC+G28H8PZtGn4hsq4ni7ZnVtKWsezQhTIRaSuFNKVcLhuhTt2Gvdw+JB9hnM8twGwfn2Ylnby5OgcfFwPmNNPL2MdzwpTIBeRulLIKM/58yPWdAjzEQ7ZN45+Rrbl5km2bQsBPWo4f9ziy1deWXo/90pTjlxE6k5297+oUZ5nnhl6k7ze17OeybkXScW2QnPe1c53l0I5chGpO3HdDAsZ5XnllTDglhvE0xOipBQ68Va99EAphQK5iFRdeg3MU04pccbC9OKZmR58MLLqHZWqiVIvc4uXQoFcRKoq3Qd8/frcY3kH2bjHT3B1yCGRb0nnvNva4i9bTz1QSqFALiJVFTXgJlNsisMs5GAyZaVR4nR3hzRNnHrqgVIKBXIRqap8ueicFMf73pdbCz///KJnKIxLnXR2NnYQBw3RF5Eqmzo1elQmRKQ4EpwnfP78ocP6I+/XoFQjF5GyFTPFa1zjY0dHRoojqjGzwDRKnLj+4Y1eGwcFchEpUzHrZab7h2/ePNj42NkJixenlk/bdl1uAB8zJrGFHspZvKKeaUCQiJSlkEmuIHfGQsia07vBl1urBg0IEpG8SlkFp9D1MuMWSO4+JSKNsmWLgngRFMhFBCguRZKp0PUyswN7F8/HzxM+ZkzhBRcFcpFWl66Fn3JKaavgFDLJFQwN7I7xPPsNPaHMxsxWpkAu0sIya+Fx0jXp4eZFKaQ3yPz50TMU3n7x74cE8Hpe5LhuuXvVX7Nnz3YRqb3OznQ1OP7V2em+eLF7e/vQ/e3tYX9Bdu6MvHj2+4u9z+LFoXxmg+VsZkCfR8TUsnutmNm+wPeBPQEHFrr7guHeo14rIvUh3xSv6V4lPT2F9UyJVERvlEJ7wEABvWCaUCV7rewAvuTubwb+Dvismb05geuKSIUNN+NfOkUC8amXYYfbRwzq+Wn7yRjOyJHhUHbqpNAeMBDfC6ZeVravprIDubv/yd0fTH29EXgC2Lvc64pI5c2fD6NHD903enQYoJOuAadXsI8S+0EQUQvfrd05YXOI2jt3hn3ZPWMK7QEDxQX9ZpdoY6eZdQGHAPcneV0RqZzsLEfm9nAzFWb2TEk3UMYNre/q9NjrZNaiC+0BA8UF/aYXlTgv5QXsDjwAnBhzfB7QB/RNnTq1wk0CIs0viYa+uMbOzs5w3Cy+ETR9v8WL3a8Z+U/RJ3n+60A4Xuxzld0A24CIaexMKoiPAn4B/HMh56vXikh5kgpicQE2HVjjAn1b22CgjToh88NguOtE9Y4p9vugXivJ9Fox4HrgFXc/u5D3qNeKSHmK6d1RznWieoakRY3KHMU2djBq8JxUeBnuOpmavddJuSrZa+XtwKnAkWa2LPU6LoHrikiMchr60vlsM3jhhdzjmTnp7ME+bW1wKA9EBnHDhwRxs+hBQxC/7Fqr9jopl2Y/FGlApdbI89WMOzpgwYJhasQRvVGM+BgyXHni+rCbDb8sWyvT7IciTaSY3h2Z8q2XufvuMUE8ojfK33LfsEEchv8LQb1OkqNALlJDpc4rUupqN/lSL5nHe3vhbzp3xNbC/4e/BcIHSEdH9PWGC8qlfhhJhKgW0Eq/1GtFpDbd5/L1Hkn3NFm82CNP6OgY7LWS2dOk1GdptV4n5aKS3Q+LfSmQSzMpNRjl68NdqbJmB9ycwBtx8EZOij8/49oKypUVF8jV2ClShnImbqpVY1963cyVK0PvkZ07Q2pm/vzUaj3Z5SmxMVOSp8ZOkQooZ+Kmchv7MrsRxk1CFSW9ALE77NgR/l2x0nKCuKVmDx9OK85rUo8UyEVK1Ntb4qyAKeU09mUvCBE3CVXm+ZGNqiedFNmY2bvYc8oWRT1M6kRUvqXSL+XIpdENl2suJs+ddH496v5nnJE7FL+93aPfGFO2jg730aOLb8yUZBGTI1eNXKQEhc4KmE86zfGDH4TtU08tLD1SaDfC3l64+uqhuXjHeG1zVi18586chH26bAMDsG4dLFpUfHdHqQ4FcpESDBdI4wJcXHqjlNXr86U00sd7egbj83v5Rfyq9SPyh4LMwL5ihYJ4PVGvFZESFDtEPqp3i1mIoemeI4VeK+56aZm9ZtI9Y6ICeFenq8dJg1GvFZEEFdtQGZWKSdehooI4hFp/vpXrs0dUdnQM/YtgwHNXrZ/Jw4ww1wjKJjKy1gUQaUTpQNnTEwLu1Kmpftgx6YZSuulNmjS01p1OuWTev79/6Ht2bff3537SMNgn/KgjlRppJkqtiFRBXComTns7jBsH69fnHkunXOKuGZVGGWE+pC1T8343JqVWRGooKhWTra1taI+QV16JPi9du8+u5Tu5aRQ+8Qm6Oj27Q4rm/W4yCuQiVZC9sEL2GJz2drj++qE9QvKN/Mw8Htsb5XvfS2S1+XyzNJY6i6MkJKpzeaVfGhAkra6QgUD5ZhSMm+Aq+1rDDR4qZBBSIeVotUWQawXNfijSeGID/kEHFRTE09cYbhRqvqA73ALM6fJVexbHVhUXyNXYKdJoIuZGyUmCZ8mc8TBKKUuyQUgJxY1w1ZJtyVNjp0jCqp4XjlhujYGBvEEcBkdlRn0GQGlLskEI4nELKWtCrepRIBcpQW8vfPKTQ4fVf/KTFQrmN98cXwuPi8wxSpk6N1+Pm507tWRbrSmQi5TgrLNg+/ah+7Zvh49/PLkaem8vIVD/wz8MPZBOQ1P8XwXHHVfcfhjscRNX8053lyxnQi31eilTVOK82BdwLPAk8Axwbr7z1dgpjW64KWQT6bkRccEZY5/JWVqt2N4i5TRMVqp3inq9FI5KNXaaWRvwFPAeYDXwB+Bj7v543HvU2CmNrtCMRtFLoW3cCBMm5N4vNbQ+83rFTtwF5S8vl240LWRagkKV8hytqpKNnXOBZ9z9OXffBvwI+FAC1xWpW9mTVcUpZNBNOq2AWU4Qz15uLfN6pQz0KXd5uUpMZZvEgKVWl0Qg3xt4IWN7dWrfEGY2z8z6zKxv7dq1CdxWpHYWLIDRo/Ofly9A9vaGBY9XrBxaxb+4/WuR62VmXi+phstaN0yW++EiVWzsdPeF7j7H3edMmTKlWrcVqYju7qEr5nR05Ab2QgJk3Kr1V4w7J2/ALSUoZ04VUC8r/dTjh0vDiUqcF/MC3gb8ImP7POC84d6jxk5pRkWtvxnR4pi9q6Nj6NdxozZLWfMz0WdpwPs1KirY2DmS0Nh5FLCG0Nh5srs/FvceNXZKyzrqKLjrriG7XmIP3sBLQ/alVw9Kq+a0s1GrD2na2/pQscZOd98BfA74BfAEcNNwQVyk2fsMxz6fWU4Q713s7Nc+fBCH6k47G7Wakaa9rW+aa0Wqqtlre1HPFzvFbMZ7Mrv0xc2HUq25S8rtoiiVo7lWpC40e20v8/k+wK15gzjkdulLz1merVq9ONSLpPEokEtVNXuf4fRzOMatfHDowYyh9cOpRi+O4dJb6kXSeBTIpaqavbYXtWr9ZNbS1Vl4CrPSXQTT6Z/MCb/mzRsM5vXYRVHyiOrKUumXuh+2rqTn1aibbmt/+Utsl8J8z1ftZ9BCEI0LrRAk9SKpwFU3ky1FRMVCn6/UZyjne2gWHcjNCr+G1IYCuTSdmtcso25+0005pw0XdEt5hnI/wGr+fZOSxQVydT+UhlXTbnIFLreWr7tlKc9Q7myBzd4FtJmp+6E0nSQbTgsepBSx3Jrh7Nbuke/J192ylGcot+ePGjObUFQ1vdIvpVYkCUnlyAu6zoc/nJOLuJm/z0lNZKdR4hadSOejC32GzOu2tSk10qpQjlyaURINp3lzxgVMcJUZhLMDdr6gm+8ZooJ91H010VTziwvkypFLy4vLU8eNypw8Gdavzz3U1hYWIs5W7gRYcTnxtraQR09qpR6pf8qRi8TIzkcfzt2xQby3F/7619xDo0dHB/HU28rKR8flvgcGkl2pRxqXArm0vMwh6Y5xN+8acrx3se+qUvf0wPbtudcYPz5+jpS0H/ygtKDb7KNhpXwja10AkVrr7o5eqaed1+innfZ5g/viZiZMp1pGjYoO9Olh8On7FWP+/Ojugpr7RNJUI5eWEdnFcMOGyD7hhtNPqKZv3gxnnTUYiOOsXz+47FuUUmd5VHdByUeNndISCp0nfIR5ZMNnMTo7Q1476jqa01vKocZOaWmZA3Oc3BkKefBBehc7IxL4jUgvEBFFeW2pBAVyaQmZ84TncKf38UOYNy++50kx0t0BNae3VIsCubSEqHnCDd81T3jUUPp8Ro0K3Q4zpYO18tpSTQrkUjcqsijzBRfkNGZ+icswQgA/7riwr5QViq67DhYtig/W2Uu4KYhLpaj7odSF7MbIcrrr7RLTGyXT0qXh3+EWPY7S2Tk0YIvUUlk1cjP7upktN7NHzOwWM5uYVMGktSS6KHPEDIUjzHOCOAzWxKNy2nGU65Z6U25q5ZfAQe4+E3gKOK/8IkkrKndq1t5eOPF//T63Fv6e94B73l4k6Zz2cJTrlnpVViB39zvcfUdq8z5gn/KLJK2onO56vb1hZObNfz5s6P7FDnfcARTWi6S7O36YfWfn0Fx3RfL5IqWKmhKxlBdwK3DKMMfnAX1A39SpUys716M0nJLnFu/oyJnTdSTbIufnLmTK20LKUTdrhUrLodT5yIFfAY9GvD6UcU4PcAupkaL5XpqPXKIUNbf4xo05AXwT7ZGLNyRdDq15KbUSF8jLHqJvZqcB/wQc5e4F9cTVEH0pSwG9UaDwNSyLVdO1QqWlVWSIvpkdC3wZ+GChQVxaT2L55M98JjeIv/QSvYu9qqMoNfxe6k25/civAMYAv7TwC3afu59edqmkaSTSP9ydyElQMqrF48YN3qOjAxYsqFzPEk0rK/Wm3F4r+7v7vu4+K/VSEG9x2bXvs84qs3+4WW4QT6elGfygyFx6rb+/1NIXRsPvpd5oGltJTNRUsXHy5pMXL4ZTTx2673e/g8OGdjGMW8+yUvlxkVqKy5FriL4kppiJp4bNJ0c0ZsZNEl7uQCKRZqBJsyQxhQbP2HzymDG5QTwjjRJFDY8iCuSSoLjg2dGRm0+GwVz6O/Z+Phzctm3wTd/85rABPE3zfosokEuC4oLqggVDp3OFkEtfuTLME37Pi/sNfZM7fP7zBd1TDY8iCuSSoEKDak8P/NvmL+Ys9DBt6s6CauFR99W839LK1GtFqmvrVhg7dsiui7iYS7hIIyNF8tDiy1J7ZjlB3HAu4SKguRsoNVuiVJICuVTeQw/l9EaZNK5/yPwozdxAme5fv3JlyBylR7cqmEtSFMilctxDAD/00MF9l18O7nzrmrEt00CZ6OpHIhGUI5fKOOccuOyywe2994bVq2tXnhrSbImSFOXIpTpefTVEqMwgvmFDQUG8WfPIGrQklaZALsk55xyYmLH+9lVXharo616X963NnEfWoCWpNAVyKd8f/jC0Fn7OOSEan174ZJjNnEfWoCWpNOXIpXRbtsCBBw5OsjJqFKxdW1ANPJvyyCL5KUcuyfqP/wirOaSD+B13hLlSSgjioDyySDkUyKU4Tz0Vqsn/8i9hu7s7VJnf89oG2qAAAAqnSURBVJ6yLqs8skjpNB+5FGbnTjj8cPj97wf3/elP8IY3JHL5dL64pydU8qdODUFceWSR/FQjl/wWL4aRIweD+A03hIR2QkE8TZNfiZRGNXKJ9+KLYSBP2hFHwJ13Ri+ELCI1o99IyeUOJ500NIg//TT8+tcK4iJ1KJHfSjP7kpm5mU1O4npSQ//1XyFY/+QnYXvBghDY99+/tuUSkVhlp1bMbF/gvYCWu21kGzbA618/uH3AAfDHP4Z1NEWkriVRI78c+DJQ/ZFFkowvfnFoEH/wwdDNUEFcpCGUFcjN7EPAGnd/uIBz55lZn5n1rV27tpzbSlLuuy/0Cf/GN8L2eeeFNMohh9S2XCJSlLypFTP7FRDVz6wHOJ+QVsnL3RcCCyEM0S+ijJK0/v6Q837xxbA9bhy89BKMH1/bcolISfLWyN39aHc/KPsFPAdMAx42sxXAPsCDZpZs52JJ1te+FoZMpoP4nXeG2akUxEUaVsmNne7+R2CP9HYqmM9x93UJlEuStnw5TJ8+uH3aabBoUc4SbCLSeDQgqNnt2AGHHRammk176SXYY4/494hIQ0lsdIe7d6k2Xme+970wtWw6iN90U2jMVBAXaSqqkTej1ath330Ht9/zHrj9do3KFGlS+s1uJu5w4olDg/izz4a5whXERZqWfrubxW23hWB9yy1h+9vfDoF9v/1qWy4RqTgF8kb3yiuh58nxx4ft6dNh61Y488zalqvKenuhqyt8lnV1NceizSKFUiBvZJ/7HHR0DG4vWwaPPw6jR9euTDXQ2wvz5sHKleGPkJUrw7aCubQKBfJGdO+9oRb+7W+H7QsuCBHs4INrW64a6ekJY5oybd4c9ou0AvVaaSSbN8O0afDyy2F7wgRYswZ237225aqxVTHzbsbtF2k2qpE3in//d9htt8Eg/utfw6uvtnwQh7C+ZzH7RZqNAnm9e+yxkEZJ5wk+/emQRjniiJoWq57Mnx+mj8nU3h72i7QCpVbq1Y4dMHcuPPTQ4L6XX4YpU2pXpjqVXqS5pyekU6ZODUFcizdLq1CNvB5997thaH06iC9ZEmrhCuKxurthxQoYGAj/KohLK1GNvJ6sWgWdnYPb73vf4EAfEZEYihD1wD0M6MkM4s8/D0uXKoiLSF6KErX2s5+FYH3bbWH76qtDYO/qqmmxRKRxKLVSK+vXw+TJg9szZ0JfX8iNi4gUQTXyWjjjjKFB/JFH4OGHFcRFpCQK5NX029+GPuFXXx22v/KVkEZ5y1tqWy4RaWhKrVTDa6+FOcL/8pewPWlS6KGy2261LZeINAXVyCvtkkvCMPp0EL/77pAfVxAXkYSoRl4pf/xjaMBMO/10uOqq2pVHRJqWAnnStm+H2bNDIE9bt27ovOEiIgkqO7ViZp83s+Vm9piZfS2JQjWs73wnLOqQDuI//WlozFQQF5EKKqtGbmbvBj4EHOzuW81sj2SK1WBWrAjzhKcdf3wY6GNWsyKJSOsoN7VyBnCpu28FcPeXyy9SAxkYgPe/H26/fXDfypWaCFtEqqrc1MobgcPN7H4z+42ZvTXuRDObZ2Z9Zta3du3aMm9bB26+GdraBoP4d78b0igK4iJSZXlr5Gb2K+ANEYd6Uu+fBPwd8FbgJjPbz909+2R3XwgsBJgzZ07O8Yaxdi3skZFBOuQQuP9+jcoUkZrJG8jd/ei4Y2Z2BnBzKnD/j5kNAJOBJqhyR/jHf4Rrrx3cfvRRmDGjduUREaH81MpPgXcDmNkbgdHAunILVXd+85vQcJkO4vPnhzSKgriI1IFyGzsXAYvM7FFgG/CJqLRKw9q0CfbaCzZuDNt77gnPPZe7QKSISA2VVSN3923ufoq7H+Tuh7r7XUkVrOYuugjGjx8M4r/7Hfz5zwriIlJ3NLIz27JloQEz7bOfhSuuqF15RETyUCBP27YNDj4Yli8f3Ld+fZipUESkjmn2Q4Arr4QxYwaD+K23hsZMBXERaQCtXSN//nnYb7/B7RNOgCVLNLReRBpKawbygQF473vhzjsH973wAuyzT+3KJCJSotZLrfz4x2FofTqIX3ddSKMoiItIg2qdGvnLL4d+4Glz54YuhSNb51sgIs2p+Wvk7nDaaUOD+OOPh/lRFMRFpAk0dyC/6y4YMQKuvz5sX3ppCOzTp9e2XCIiCWrOKunGjaEG3t8ftvfeG55+GsaNq225REQqoPlq5OefDxMmDAbx++6D1asVxEWkaTVPjfzBB8Oix2lnnw2XX1678oiIVEnjB/KtW+Etbwmpk7RXXoHXv752ZRIRqaLGTq1885swduxgEF+6NDRmKoiLSAtpzBr5s8/C/vsPbp90Etx4o4bWi0hLaqxAPjAARx4ZVuxJW7MmLP4gItKiGia10tsLl3Z8fVcQv/f074c0ioK4iLS4hqiR9/bCvHkwafPJvMg4vs1nGfv9Nha+A7q7a106EZHaslossTlnzhzv6+sr+PyuLli5Mnd/ZyesWJFYsURE6pqZPeDuc7L3N0RqZdWq4vaLiLSShgjkU6cWt19EpJWUFcjNbJaZ3Wdmy8ysz8zmJlWwTPPn5y5e394e9ouItLpya+RfA77i7rOAC1PbievuhoULQ07cLPy7cKEaOkVEoPxeKw5MSH39OuDFMq8Xq7tbgVtEJEq5gfxs4Bdmdhmhdn9Y+UUSEZFi5A3kZvYr4A0Rh3qAo4AvuvsSM/sIcC1wdMx15gHzAKaqlVJEJDFl9SM3s1eBie7uZmbAq+4+Id/7iu1HLiIiletH/iLwrtTXRwJPD3OuiIhUQLk58s8AC8xsJLCFVOpERESqpyZD9M1sLRAx6L7uTAbW1boQVdaKzwyt+dx65sbT6e5TsnfWJJA3CjPri8pHNbNWfGZozefWMzePhhiiLyIi8RTIRUQanAL58BbWugA10IrPDK353HrmJqEcuYhIg1ONXESkwSmQi4g0OAXyPMzsX83skdSc63eYWdOv9mxmXzez5annvsXMJta6TJVmZieZ2WNmNmBmTdc9LZOZHWtmT5rZM2Z2bq3LUw1mtsjMXjazR2tdlkpQIM/v6+4+MzXn+m2Eedeb3S+Bg9x9JvAUcF6Ny1MNjwInAnfXuiCVZGZtwLeB9wFvBj5mZm+ubamq4nvAsbUuRKUokOfh7n/N2NyNMAd7U3P3O9x9R2rzPmCfWpanGtz9CXd/stblqIK5wDPu/py7bwN+BHyoxmWqOHe/G3il1uWolHLnWmkJZjYf+DjwKvDuGhen2j4F3FjrQkhi9gZeyNheDfxtjcoiCVEgZ/g51939Z+7eA/SY2XnA54CLqlrACsj3zKlzeoAdQG81y1YphTyzSCNSIAfcPXIxjAi9wFKaIJDne2YzOw34AHCUN8lggyJ+zs1sDbBvxvY+qX3SwJQjz8PMDsjY/BCwvFZlqRYzOxb4MvBBd99c6/JIov4AHGBm08xsNPBR4Oc1LpOUSSM78zCzJcCBwABh6t3T3b2pazBm9gwwBlif2nWfu59ewyJVnJmdAHwLmAJsAJa5+zG1LVVlmNlxwDeANmCRu8+vcZEqzsxuAI4gTGP7EnCRu19b00IlSIFcRKTBKbUiItLgFMhFRBqcArmISINTIBcRaXAK5CIiDU6BXESkwSmQi4g0uP8PXW0s0+hahMMAAAAASUVORK5CYII=\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 4: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 5: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 6: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 7: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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RfxX4PDAQd4KZLTCzFWa2YsOGDQndVkRaQaXzmyQ69exhh+X1Rvnet3cypWtw8GRXV5hCpd5pn4yKA7mZvQd4yd0fGO48d1/s7nPdfe7UqVOHO1VE2kyl85skkprZsSME8MceG9x33HHgzukfGcXGjeFDwh02bmycIA7JNHa+BXivmZ0EjAUmmtlSd5+fwLVFpA3ELVpcbLCsODWT2x8cQsRuEhXXyN39Qnc/0N17gA8CdymIi0ipKllBp+zUzAUX5AfxTH6miagfuYg0vbjUzEknDdMAagZf+tLQN7nHRv9G7ecODTT7oYhIJVKpwdTM5Mnw6quwbdvQczo7Ydv2wmmU7GtNmxY+EG68cWgevrMz2QWUi6Gl3kSkaRRT+809B0JK5rvfhf7+/CD+GRblB/Gf/SwyiOf2gLn22gbt556muVZEpKEUM8oz6pwzzoDf/haWL88Puk7xjZlRPWDiEhcVreOZIKVWRKShFLOKfdw5ZkODblQA7+n2vdeJMmJE8W2d2WWqBaVWRKQpFNOVMO4cd+jogLdwT14Qv513Yzhbtw7fUBnX0yW3c0tZ63hWiQK5iDSUYroSDtetcPce4x6OHrLPcE7mdgA2bQrT0k6ZEp2Dj+sBc9ZZFazjWWUK5CLSUIoZ5blwYcSaDmE+wiH7xtHPyI78PMnOnSGgRw3nj1t8+eqry+/nXm3KkYtIw8nt/hc1yvOcc0Jvktf6JjYxJf8i6dhWbM671vnucihHLiINJ66bYTGjPK++Ggbc8oN4ZkKUtGIn3mqUHijlUCAXkZrLrIE5f36ZMxZmFs/M9uCDkVXvqFRNlEaZW7wcCuQiUlOZPuCbNuUfKzjIxj1+gqsjjoh8Sybn3dERf9lG6oFSDgVyEampqAE32WJTHGYhB5MtJ40Sp7c3pGniNFIPlHIokItITRXKReelOE48Mb8WftFFJc9QGJc66e5u7iAOGqIvIjU2bVr0qEyISHEkOE/4woVDh/VH3q9JqUYuIhUrZYrXuMbHrq6sFEdUY2aRaZQ4cf3Dm702DgrkIlKhUtbLzPQP3759sPGxuxuWLk0vn7ZjSX4AHzMmsYUeKlm8opFpQJCIVKSYSa4gf8ZCyJnTu8mXW6sFDQgSkYLKWQWn2PUy4xZI7p0fkUZ59VUF8RIokIsIUFqKJFux62XmBvYenoufJ3zMmOILLgrkIu0uUwufP7+8VXCKmeQKhgZ2x3iOg4eeUGFjZjtTIBdpY9m18DiZmvRw86IU0xtk4cLoGQrvuOy+IQG8kRc5bljuXvPXnDlzXETqr7s7Uw2Of3V3uy9d6t7ZOXR/Z2fYX5Q9eyIvnvv+Uu+zdGkon9lgOVsZsMIjYmrFvVbM7CDgO8B+gAOL3X3RcO9RrxWRxlBoitdMr5K+vuJ6pkQqoTdKsT1goIheMC2omr1WdgOfc/c3An8NfNLM3pjAdUWkyoab8S+TIoH41Muww+0jBvX8pPN0DGfkyHAoN3VSbA8YiO8F0ygr29dSxYHc3f/o7g+mv34FeAI4oNLrikj1LVwIo0cP3Td6dBigk6kBZ1awjxL7QRBRC9+n0zlle4jae/aEfbk9Y4rtAQOlBf1Wl2hjp5n1AEcA9yd5XRGpntwsR/b2cDMVZvdMyTRQxg2t7+n22Otk16KL7QEDpQX9lheVOC/nBYwHHgBOjTm+AFgBrJg2bVqVmwREWl8SDX1xjZ3d3eG4WXwjaOZ+S5e6f2vkguiTvPB1IBwv9bkqboBtQsQ0diYVxEcBPwP+oZjz1WtFpDJJBbG4AJsJrHGBvqNjMNBGnZD9YTDcdaJ6x5T6fVCvlWR6rRhwI/Cyu59XzHvUa0WkMqX07qjkOlE9QzKiRmWOYie7GTV4Tjq8DHedbK3e66RS1ey18hbgDOBYM1uZfp2UwHVFJEYlDX2ZfLYZPP98/vHsnHTuYJ+ODjiSByKDuOFDgrhZ9KAhiF92rV17nVRKsx+KNKFya+SFasZdXbBo0TA14ojeKEZ8DBmuPHF92M2GX5atnWn2Q5EWUkrvjmyF1sscPz4miEf0RpnH/cMGcRj+LwT1OkmOArlIHZU7r0i5q90USr1kH0+l4K+6d8fWwn/HPCB8gHR1RV9vuKBc7oeRRIhqAa32S71WROrTfa5Q75FMT5OlSz3yhK6uwV4r2T1Nyn2Wdut1Uimq2f2w1JcCubSScoNRoT7c1SprbsDNC7wRB2/mtPjzs66toFxdcYFcjZ0iFahk4qZ6NfZl1s1csyb0HtmzJ6RmFi5Mr9aTW54yGzMleWrsFKmCSiZuqrSxL7sbYdwkVFEyCxC7w+7d4d/VaywviFt69vDhtOO8Jo1IgVykTKlUmbMCplXS2Je7IETcJFTZ50c2qp52WmRjZmqp55UtinqYNIiofEu1X8qRS7MbLtdcSp476fx61P3PPjt/KH5np0e/MaZsXV3uo0eX3pgpySImR64auUgZip0VsJBMmuO73w3bZ5xRXHqk2G6EqRRce+3QXLxjbNueUwvfsycvYZ8p28AAbNwIS5aU3t1RakOBXKQMwwXSuAAXl94oZ/X6QimNzPG+vsH4/C5+Fr9q/YjCoSA7sK9erSDeSNRrRaQMpQ6Rj+rdYhZiaKbnSLHXirteRnavmUzPmKgA3tPt6nHSZNRrRSRBpTZURqViMnWoqCAOodZfaOX63BGVXV1D/yIY8PxV62fxMCPMNYKyhYysdwFEmlEmUPb1hYA7bVq6H3ZMuqGcbnqTJw+tdWdSLtn37+8f+p692/39+Z80DPYJP+5YpUZaiVIrIjUQl4qJ09kJ48bBpk35xzIpl7hrRqVRRpgPacvUvN/NSakVkTqKSsXk6ugY2iPk5Zejz8vU7nNr+U5+GoWPfISebs/tkKJ5v1uMArlIDeQurJA7BqezE268cWiPkEIjP7OPx/ZG+fa3E1ltvtAsjeXO4igJiepcXu2XBgRJuytmIFChGQXjJrjKvdZwg4eKGYRUTDnabRHkekGzH4o0n9iAf9hhRQXxzDWGG4VaKOgOtwBzpny1nsWxXcUFcjV2ijSbiLlR8pLgObJnPIxSzpJsEFJCcSNctWRb8tTYKZKwmueFI5ZbY2CgYBCHwVGZUZ8BUN6SbBCCeNxCyppQq3YUyEXKkErBRz86dFj9Rz9apWC+bFl8LTwuMscoZ+rcQj1u9uzRkm31pkAuUoZzz4Vdu4bu27ULPvzh5GroqRQhUL///UMPZNLQlP5XwUknlbYfBnvcxNW8M90lK5lQS71eKhSVOC/1BZwI/AF4Grig0Plq7JRmN9wUson03Ii44MyxT+ctrVZqb5FKGiar1TtFvV6KR7UaO82sA3gSeCewDvgd8CF3fzzuPWrslGZXbEaj5KXQXnkFJk7Mv196aH329UqduAsqX14u02hazLQExSrnOdpVNRs75wFPu/uz7r4T+D7wvgSuK9KwcierilPMoJtMWgGzvCCeu9xa9vXKGehT6fJy1ZjKNokBS+0uiUB+APB81va69L4hzGyBma0wsxUbNmxI4LYi9bNoEYweXfi8QgEylQoLHq9eM7SKf1nnlyPXy8y+XlINl/VumKz0w0Vq2Njp7ovdfa67z506dWqtbitSFb29Q1fM6erKD+zFBMi4VeuvGnd+wYBbTlDOniqgUVb6acQPl6YTlTgv5QX8DfCzrO0LgQuHe48aO6UVlbT+ZkSLY+6urq6hX8eN2ixnzc9En6UJ79esqGJj50hCY+dxwHpCY+fp7v5Y3HvU2Clt67jj4K67hux6kX15HS8O2ZdZPSijltPORq0+pGlvG0PVGjvdfTfwKeBnwBPAD4YL4iKt3mc49vnM8oJ4aqlzcOfwQRxqO+1s1GpGmva2sWmuFampVq/tRT1f7BSzWe/J7tIXNx9KreYuqbSLolSP5lqRhtDqtb3s53sPtxUM4pDfpS8zZ3muWvXiUC+S5qNALjXV6n2GM8/hGLfx3qEHs4bWD6cWvTiGS2+pF0nzUSCXmmr12l7UqvVT2EBPd/EpzGp3Ecykf7In/FqwYDCYN2IXRSkgqitLtV/qfti+kp5Xo2G6rf35z7FdCgs9X62fQQtBNC+0QpA0iqQCV8NMthQRFYt9vnKfoZLvoVl0IDcr/hpSHwrk0nLqXrOMuvktt+SdNlzQLecZKv0Aq/v3TcoWF8jV/VCaVl27yRW53Fqh7pblPEOlswW2ehfQVqbuh9Jykmw4LXqQUsRya4azT6dHvqdQd8tynqHSnj9qzGxBUdX0ar+UWpEkJJUjL+o6739/Xi7iR/xdXmoiN40St+hEJh9d7DNkX7ejQ6mRdoVy5NKKkmg4LZgzLmKCq+wgnBuwCwXdQs8QFeyj7quJplpfXCBXjlzaXlyeOm5U5pQpsGlT/qGOjrAQca5KJ8CKy4l3dIQ8elIr9UjjU45cJEZuPvpo7o4N4qkU/OUv+YdGj44O4um3VZSPjst9Dwwku1KPNC8Fcml72UPSHeNu3j7keGqp761S9/XBrl3515gwIX6OlIzvfre8oNvqo2GlciPrXQCReuvtjV6pp5Nt9NNJ54LBfXEzE2ZSLaNGRQf6zDD4zP1KsXBhdHdBzX0iGaqRS9uI7GK4eXNkn3DD6SdU07dvh3PPHQzEcTZtGlz2LUq5szyqu6AUosZOaQvFzhM+wjyy4bMU3d0hrx11Hc3pLZVQY6e0teyBOU7+DIU8+CCppc6IBH4jMgtERFFeW6pBgVzaQvY84XncST1+BAsWxPc8KUWmO6Dm9JZaUSCXthA1T7jhe+cJjxpKX8ioUaHbYbZMsFZeW2pJgVwaRlUWZb744rzGzM9xBUYI4CedFPaVs0LRDTfAkiXxwTp3CTcFcakWdT+UhpDbGFlJd729YnqjZFu+PPw73KLHUbq7hwZskXqqqEZuZl8xs1Vm9oiZ/djMJiVVMGkviS7KHDFD4QjzvCAOgzXxqJx2HOW6pdFUmlr5OXCYu88CngQurLxI0o4qnZo1lYJT/9t/5tfC3/lOcC/YiyST0x6Oct3SqCoK5O5+p7vvTm/eBxxYeZGkHVXSXS+VCiMzf/Sno4buX+pw551Acb1Ienvjh9l3dw/NdVclny9SrqgpEct5AbcB84c5vgBYAayYNm1aded6lKZT9tziU6bkzek6kp2R83MXM+VtMeVomLVCpe1Q7jS2ZvYL4HURh/rc/db0OX3AXOBUL3RBNLJToqVSISeeGVAz7NSs27bB+PFDd9HJeLbt3S53FGWhclS61JpIueJGdlY8RN/MzgT+N3CcuxfVE1eBXCpSRG8UqF5gretaodLWqjJE38xOBD4PvLfYIC7tJ7F88ic+kR/EX3yR1FKv6ShKDb+XRlNpP/KrgDHAzy38gt3n7mdVXCppGYn0D3cnchKUrGrxuHGD9+jqgkWLqtezRNPKSqOptNfK6939IHefnX4piLe53Nr3uedW2D/cLD+IZ9oYGfygyF56rb+/3NIXR8PvpdFoGltJTNRUsXEK5pNTKZg/f+i+3/4WjhraxVANj9JO4nLkGqIviSll4qlh88kRjZlxk4RXOpBIpBVo0ixJTLHBMzafPGZMfhDPSqNEUcOjiAK5JCgueHZ15eeTYTCX/tYDV4eDO3cOvulrXxs2gGdo3m8RBXJJUFxQXbRo6HSuEHLpa9aEecLvWT996Jvc4dOfLuqeangUUSCXBBUbVPv64J+3/0PeQg/Tp+0pqhYedV/N+y3tTL1WpLZ27ICxY4fsupTL+CKXamSkSAFafFnqzywviBvOF7kUaO0GSs2WKNWkQC7V99BDeb1RJo/rHzI/Sis3UGb6169ZEzJHmdGtCuaSFAVyqR73EMCPPHJw35VXgjtfv25s2zRQJrr6kUgE5cilOs4/H664YnD7gANg3br6laeONFuiJEU5cqmNLVtChMoO4ps3FxXEWzWPrEFLUm0K5JKc88+HSVnrb19zTaiKvuY1Bd/aynlkDVqSalMgl8r97ndDa+Hnnx+i8VnFT4bZynlkDVqSalOOXMr36qtw6KGDk6yMGgUbNhRVA8+lPLJIYcqRS7L+9V/Dag6ZIH7nnWGulDKCOCiPLFIJBXIpzZNPhmryP/5j2O7tDVXmd76zossqjyxSPs1HLsXZs291h6sAAAqUSURBVAeOPhr+8z8H9/3xj/C61yVy+Uy+eLjV60UkmmrkUtjSpTBy5GAQv+mmkNBOKIhnaPIrkfKoRi7xXnghDOTJOOYY+OUvoxdCFpG60W+k5HOH004bGsSfegp+9SsFcZEGlMhvpZl9zszczKYkcT2po3//9xCsf/jDsL1oUQjsr399fcslIrEqTq2Y2UHAuwAtd9vMNm+G1752cPuQQ+D3vw/raIpIQ0uiRn4l8Hmg9iOLJBmf/ezQIP7gg6GboYK4SFOoKJCb2fuA9e7+cBHnLjCzFWa2YsOGDZXcVpJy332hT/hXvxq2L7wwpFGOOKK+5RKRkhRMrZjZL4CofmZ9wEWEtEpB7r4YWAxhiH4JZZSk9feHnPcLL4TtcePgxRdhwoT6lktEylKwRu7ux7v7Ybkv4FlgOvCwma0GDgQeNLNkOxdLsr785TBkMhPEf/nLMDuVgrhI0yq7sdPdfw/sm9lOB/O57r4xgXJJ0latghkzBrfPPBOWLMlbgk1Emo8GBLW63bvhqKPCVLMZL74I++4b/x4RaSqJje5w9x7VxhvMt78dppbNBPEf/CA0ZiqIi7QU1chb0bp1cNBBg9vvfCfccYdGZYq0KP1mtxJ3OPXUoUH8mWfCXOEK4iItS7/dreL220Ow/vGPw/Y3vhEC+8EH17dcIlJ1CuTN7uWXQ8+Tk08O2zNmwI4dcM459S1XjaVS0NMTPst6elpj0WaRYimQN7NPfQq6uga3V66Exx+H0aPrV6Y6SKVgwQJYsyb8EbJmTdhWMJd2oUDejO69N9TCv/GNsH3xxSGCHX54fctVJ319YUxTtu3bw36RdqBeK81k+3aYPh1eeilsT5wI69fD+PH1LVedrY2ZdzNuv0irUY28WfzLv8A++wwG8V/9CrZsafsgDmF9z1L2i7QaBfJG99hjIY2SyRN8/OMhjXLMMXUtViNZuDBMH5OtszPsF2kHSq00qt27Yd48eOihwX0vvQRTp9avTA0qs0hzX19Ip0ybFoK4Fm+WdqEaeSP61rfC0PpMEF+2LNTCFcRj9fbC6tUwMBD+VRCXdqIaeSNZuxa6uwe3//ZvBwf6iIjEUIRoBO5hQE92EH/uOVi+XEFcRApSlKi3W28Nwfr228P2tdeGwN7TU9diiUjzUGqlXjZtgilTBrdnzYIVK0JuXESkBKqR18PZZw8N4o88Ag8/rCAuImVRIK+l3/wm9Am/9tqw/YUvhDTKm95U33KJSFNTaqUWtm0Lc4T/+c9he/Lk0ENln33qWy4RaQmqkVfbF78YhtFngvjdd4f8uIK4iCRENfJq+f3vQwNmxllnwTXX1K88ItKyFMiTtmsXzJkTAnnGxo1D5w0XEUlQxakVM/u0ma0ys8fM7MtJFKppffObYVGHTBD/yU9CY6aCuIhUUUU1cjN7B/A+4HB332Fm+yZTrCazenWYJzzj5JPDQB+zuhVJRNpHpamVs4HL3X0HgLu/VHmRmsjAALz73XDHHYP71qzRRNgiUlOVplbeABxtZveb2a/N7M1xJ5rZAjNbYWYrNmzYUOFtG8CPfgQdHYNB/FvfCmkUBXERqbGCNXIz+wXwuohDfen3Twb+Gngz8AMzO9jdPfdkd18MLAaYO3du3vGmsWED7JuVQTriCLj/fo3KFJG6KRjI3f34uGNmdjbwo3Tg/i8zGwCmAC1Q5Y7w938P118/uP3oozBzZv3KIyJC5amVnwDvADCzNwCjgY2VFqrh/PrXoeEyE8QXLgxpFAVxEWkAlTZ2LgGWmNmjwE7gI1Fplaa1dSvsvz+88krY3m8/ePbZ/AUiRUTqqKIaubvvdPf57n6Yux/p7nclVbC6u/RSmDBhMIj/9rfwpz8piItIw9HIzlwrV4YGzIxPfhKuuqp+5RERKUCBPGPnTjj8cFi1anDfpk1hpkIRkQam2Q8Brr4axowZDOK33RYaMxXERaQJtHeN/Lnn4OCDB7dPOQWWLdPQehFpKu0ZyAcG4F3vgl/+cnDf88/DgQfWr0wiImVqv9TKLbeEofWZIH7DDSGNoiAuIk2qfWrkL70U+oFnzJsXuhSObJ9vgYi0ptavkbvDmWcODeKPPx7mR1EQF5EW0NqB/K67YMQIuPHGsH355SGwz5hR33KJiCSoNaukr7wSauD9/WH7gAPgqadg3Lj6lktEpApar0Z+0UUwceJgEL/vPli3TkFcRFpW69TIH3wwLHqccd55cOWV9SuPiEiNNH8g37ED3vSmkDrJePlleO1r61cmEZEaau7Uyte+BmPHDgbx5ctDY6aCuIi0keaskT/zDLz+9YPbp50GN9+sofUi0paaK5APDMCxx4YVezLWrw+LP4iItKmmSa2kUnB511f2BvF7z/pOSKMoiItIm2uKGnkqBQsWwOTtp/MC4/gGn2TsdzpY/Fbo7a136URE6svqscTm3LlzfcWKFUWf39MDa9bk7+/uhtWrEyuWiEhDM7MH3H1u7v6mSK2sXVvafhGRdtIUgXzatNL2i4i0k4oCuZnNNrP7zGylma0ws3lJFSzbwoX5i9d3dob9IiLtrtIa+ZeBL7j7bOCS9Hbienth8eKQEzcL/y5erIZOERGovNeKAxPTX78GeKHC68Xq7VXgFhGJUmkgPw/4mZldQajdH1V5kUREpBQFA7mZ/QJ4XcShPuA44LPuvszMPgBcDxwfc50FwAKAaWqlFBFJTEX9yM1sCzDJ3d3MDNji7hMLva/UfuQiIlK9fuQvAG9Pf30s8NQw54qISBVUmiP/BLDIzEYCr5JOnYiISO3UZYi+mW0AIgbdN5wpwMZ6F6LG2vGZoT2fW8/cfLrdfWruzroE8mZhZiui8lGtrB2fGdrzufXMraMphuiLiEg8BXIRkSanQD68xfUuQB204zNDez63nrlFKEcuItLkVCMXEWlyCuQiIk1OgbwAM/tnM3skPef6nWbW8qs9m9lXzGxV+rl/bGaT6l2majOz08zsMTMbMLOW656WzcxONLM/mNnTZnZBvctTC2a2xMxeMrNH612WalAgL+wr7j4rPef67YR511vdz4HD3H0W8CRwYZ3LUwuPAqcCd9e7INVkZh3AN4C/Bd4IfMjM3ljfUtXEt4ET612IalEgL8Dd/5K1uQ9hDvaW5u53uvvu9OZ9wIH1LE8tuPsT7v6HepejBuYBT7v7s+6+E/g+8L46l6nq3P1u4OV6l6NaKp1rpS2Y2ULgw8AW4B11Lk6tfQy4ud6FkMQcADyftb0O+B91KoskRIGc4edcd/db3b0P6DOzC4FPAZfWtIBVUOiZ0+f0AbuBVC3LVi3FPLNIM1IgB9w9cjGMCClgOS0QyAs9s5mdCbwHOM5bZLBBCT/nVrYeOChr+8D0PmliypEXYGaHZG2+D1hVr7LUipmdCHweeK+7b693eSRRvwMOMbPpZjYa+CDw0zqXSSqkkZ0FmNky4FBggDD17lnu3tI1GDN7GhgDbErvus/dz6pjkarOzE4Bvg5MBTYDK939hPqWqjrM7CTgq0AHsMTdF9a5SFVnZjcBxxCmsX0RuNTdr69roRKkQC4i0uSUWhERaXIK5CIiTU6BXESkySmQi4g0OQVyEZEmp0AuItLkFMhFRJrc/we50gf5NDkd5gAAAABJRU5ErkJggg==\n", "text/plain": [ "
" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 8: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 9: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 10: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 11: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 12: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 13: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 14: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 15: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 16: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 17: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 18: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 19: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 20: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 21: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 22: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 23: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 24: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 25: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 26: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 27: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", 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" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 28: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n", "=> epoch 29: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" }, { "output_type": "display_data", "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "tags": [], "needs_background": "light" } }, { "output_type": "stream", "text": [ "=> epoch 30: w_true= 2.50, w_pred= 2.48; b_true= 1.00, b_pred= 1.04, loss= 0.90\n" ], "name": "stdout" } ] }, { "cell_type": "markdown", "metadata": { "id": "l2aqhJIOaQ03" }, "source": [ "Plot" ] }, { "cell_type": "code", "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 265 }, "id": "WYNTmUKRaSC-", "outputId": "f23aee27-d169-4662-9357-4bfbd432be03" }, "source": [ "# Show all\r\n", "plt.plot(epochs, Ws, 'r', \r\n", " epochs, bs, 'b') \r\n", "plt.plot([weight] * len(epochs), 'r--', \r\n", " [bias] * len(epochs), 'b--') \r\n", "plt.legend(['W', 'b', 'true W', 'true_b'])\r\n", "plt.show()" ], "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "image/png": 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\n", 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