diff --git a/ArnabG99.ipynb b/ArnabG99.ipynb
index 0a721fb..fe08d01 100644
--- a/ArnabG99.ipynb
+++ b/ArnabG99.ipynb
@@ -3,9 +3,10 @@
"nbformat_minor": 0,
"metadata": {
"colab": {
- "name": "First_Date_with_TensorFlow.ipynb",
+ "name": "ArnabG99.ipynb",
"version": "0.3.2",
- "provenance": []
+ "provenance": [],
+ "include_colab_link": true
},
"kernelspec": {
"name": "python3",
@@ -13,6 +14,16 @@
}
},
"cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ "
"
+ ]
+ },
{
"metadata": {
"id": "2XXfXed5YLbe",
@@ -88,7 +99,11 @@
"metadata": {
"id": "vmMcjzTxbWzw",
"colab_type": "code",
- "colab": {}
+ "outputId": "fe0cd60f-88ef-4e5b-ccf5-b41f853361cf",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 68
+ }
},
"cell_type": "code",
"source": [
@@ -98,7 +113,17 @@
"print (t3)"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "Tensor(\"Const:0\", shape=(), dtype=float32)\n",
+ "Tensor(\"Const_1:0\", shape=(2,), dtype=float32)\n",
+ "Tensor(\"Const_2:0\", shape=(2, 3, 2), dtype=float32)\n"
+ ],
+ "name": "stdout"
+ }
+ ]
},
{
"metadata": {
@@ -118,7 +143,11 @@
"metadata": {
"id": "ol6O5I7Tb2nb",
"colab_type": "code",
- "colab": {}
+ "outputId": "078668eb-6a15-4499-cd54-bddbd2ffa1eb",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 204
+ }
},
"cell_type": "code",
"source": [
@@ -131,7 +160,25 @@
"sess.close()"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "2.0\n",
+ "=======================\n",
+ "[1. 2.]\n",
+ "=======================\n",
+ "[[[1. 9.]\n",
+ " [2. 3.]\n",
+ " [4. 5.]]\n",
+ "\n",
+ " [[1. 9.]\n",
+ " [2. 3.]\n",
+ " [4. 5.]]]\n"
+ ],
+ "name": "stdout"
+ }
+ ]
},
{
"metadata": {
@@ -177,7 +224,11 @@
"metadata": {
"id": "FyVz0GNqgreZ",
"colab_type": "code",
- "colab": {}
+ "outputId": "b036680e-77cd-4d41-92ab-f12d3c18de84",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 51
+ }
},
"cell_type": "code",
"source": [
@@ -194,7 +245,16 @@
"sess.close()"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "Comp Graph 1 : 7663\n",
+ "Comp Graph 1 Alt: 7663\n"
+ ],
+ "name": "stdout"
+ }
+ ]
},
{
"metadata": {
@@ -212,7 +272,11 @@
"metadata": {
"id": "4856BTvRhiBb",
"colab_type": "code",
- "colab": {}
+ "outputId": "dcf832d6-fbff-4ec2-f4bc-fd883fa37be8",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 68
+ }
},
"cell_type": "code",
"source": [
@@ -232,7 +296,17 @@
"sess.close()"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "Complete Result: 3.5897436\n",
+ "Part 1 Result: -4.0\n",
+ "Part 2 Result: 3.5897436\n"
+ ],
+ "name": "stdout"
+ }
+ ]
},
{
"metadata": {
@@ -257,18 +331,35 @@
"metadata": {
"id": "-uHNe1BolJY0",
"colab_type": "code",
- "colab": {}
+ "outputId": "6770fc11-2869-41ca-879e-73c0bcb64ef0",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 34
+ }
},
"cell_type": "code",
"source": [
- "# Build the graph\n",
- "# YOUR CODE HERE\n",
+ "a=tf.constant([9,10],dtype=tf.float32)\n",
+ "b=tf.constant([7,8.65],dtype=tf.float32)\n",
+ "c=tf.constant(5.6,dtype=tf.float32)\n",
+ "d=tf.constant([7.65,9],dtype=tf.float32)\n",
+ "e=tf.constant([13.5,7.18],dtype=tf.float32)\n",
"\n",
- "# Execute \n",
- "# YOUR CODE HERE"
+ "result=tf.minimum(tf.divide(tf.multiply(a,b),c),tf.add(d,e))\n",
+ "sess=tf.Session()\n",
+ "\n",
+ "print(sess.run(result))"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "[11.25 15.446429]\n"
+ ],
+ "name": "stdout"
+ }
+ ]
},
{
"metadata": {
@@ -289,18 +380,32 @@
"metadata": {
"id": "0ZhYwAlLmEvB",
"colab_type": "code",
- "colab": {}
+ "outputId": "f2917537-a78b-4029-cbed-000fe98022e5",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 51
+ }
},
"cell_type": "code",
"source": [
- "# Build the graph\n",
- "# YOUR CODE HERE\n",
- "\n",
- "# Execute \n",
- "# YOUR CODE HERE"
+ "a=tf.constant([[1.2,3.4],[7.5,8.6]],dtype=tf.float32)\n",
+ "b=tf.constant([[7,9],[8,6]],dtype=tf.float32)\n",
+ "c=tf.constant([[2.79,3.81,5.6],[7.3,5.67,8.9]],dtype=tf.float32)\n",
+ "d=tf.constant([[2.6,18.1],[7.86,9.81],[9.36,10.11]],dtype=tf.float32)\n",
+ "result=tf.add(tf.multiply(tf.reduce_mean(a,1),b),tf.reduce_sum(tf.multiply(tf.transpose(d),c)))\n",
+ "print(sess.run(result))"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "[[383.4483 439.7983 ]\n",
+ " [385.7483 415.64832]]\n"
+ ],
+ "name": "stdout"
+ }
+ ]
},
{
"metadata": {
@@ -318,18 +423,37 @@
"metadata": {
"id": "GQWyCvsQmMcL",
"colab_type": "code",
- "colab": {}
+ "outputId": "9d803f9b-34d5-4040-a328-92e010cd1b43",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 85
+ }
},
"cell_type": "code",
"source": [
"# Build the graph\n",
"# YOUR CODE HERE\n",
- "\n",
+ "a=tf.constant([[7.36,8.91,10.41],[5.31,9.38,7.99]],dtype=tf.float32)\n",
+ "b=tf.constant([[7.99,10.36],[5.36,7.98],[8.91,5.67]],dtype=tf.float32)\n",
+ "c=tf.constant([[1,5.6,6.1,8],[0,0,7.98,9],[0,0,7.6,7],[0,0,0,8.98]],dtype=tf.float32)\n",
+ "result=tf.divide(tf.divide(tf.add(tf.reduce_sum(tf.multiply(a,tf.transpose(b))),7.0),19.6),c)\n",
"# Execute \n",
- "# YOUR CODE HERE"
+ "# YOUR CODE HERE\n",
+ "print(sess.run(result))"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "[[19.463488 3.475623 3.1907358 2.432936 ]\n",
+ " [ inf inf 2.4390335 2.1626098]\n",
+ " [ inf inf 2.5609853 2.7804983]\n",
+ " [ inf inf inf 2.1674263]]\n"
+ ],
+ "name": "stdout"
+ }
+ ]
},
{
"metadata": {
@@ -388,7 +512,11 @@
"metadata": {
"id": "1h1-D8K1uT48",
"colab_type": "code",
- "colab": {}
+ "outputId": "395a7820-0f68-4e4f-f2bc-2a3984814f91",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 347
+ }
},
"cell_type": "code",
"source": [
@@ -397,7 +525,20 @@
"plt.show()"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "display_data",
+ "data": {
+ "image/png": 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GDx/+3Dq+vr4YO3ZsTV6WiKhOLI8PxsWUeLzZ+i1s9trOi5SQ5NS+jGlcXBzMzc3Rpk2b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\nYII=\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "tags": []
+ }
+ }
+ ]
},
{
"metadata": {
@@ -407,8 +548,8 @@
"cell_type": "markdown",
"source": [
"** Question **
\n",
- "Why did I created a session to plot the graph?
\n",
- "[Ans]"
+ "Why did I create a session to plot the graph?
\n",
+ "[Ans] "
]
},
{
@@ -490,7 +631,11 @@
"metadata": {
"id": "ttI7ZT-ozAm1",
"colab_type": "code",
- "colab": {}
+ "outputId": "542834e9-7033-42f6-ae01-26b466259b95",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 721
+ }
},
"cell_type": "code",
"source": [
@@ -525,7 +670,48 @@
" plt.show()"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "Loss after epoch 0 is 48231.863\n",
+ "Loss after epoch 50 is 30.156618\n",
+ "Loss after epoch 100 is 30.146185\n",
+ "Loss after epoch 150 is 30.135885\n",
+ "Loss after epoch 200 is 30.125536\n",
+ "Loss after epoch 250 is 30.115234\n",
+ "Loss after epoch 300 is 30.104954\n",
+ "Loss after epoch 350 is 30.09463\n",
+ "Loss after epoch 400 is 30.084347\n",
+ "Loss after epoch 450 is 30.074017\n",
+ "Loss after epoch 500 is 30.063745\n",
+ "Loss after epoch 550 is 30.053429\n",
+ "Loss after epoch 600 is 30.043163\n",
+ "Loss after epoch 650 is 30.032866\n",
+ "Loss after epoch 700 is 30.022612\n",
+ "Loss after epoch 750 is 30.012356\n",
+ "Loss after epoch 800 is 30.002064\n",
+ "Loss after epoch 850 is 29.99182\n",
+ "Loss after epoch 900 is 29.981537\n",
+ "Loss after epoch 950 is 29.971289\n",
+ "Now testing the model in the test set\n",
+ "The final loss is: 32.79357\n"
+ ],
+ "name": "stdout"
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "image/png": 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G4ytTVu10BYIUshCi0HN6nYzaPpzVh1ZQzL8Yi9sto2Voa7Vj5Q2Kgt/G9Vgm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\nYII=\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "tags": []
+ }
+ }
+ ]
},
{
"metadata": {
@@ -549,8 +735,33 @@
},
"cell_type": "code",
"source": [
- "def linear_regression(learning_rate=0.000005, n_epochs=100, interval=50):\n",
- " # YOUR CODE HERE\n",
+ "def linear_regression(learning_rate, n_epochs, interval):\n",
+ " x = tf.placeholder(tf.float32, name='x')\n",
+ " y = tf.placeholder(tf.float32, name='y')\n",
+ " W = tf.Variable(0.0, name='weight_1')\n",
+ " b = tf.Variable(0.0, name='bias_1')\n",
+ " pred_y = (W*x) + b\n",
+ " loss = tf.reduce_mean(tf.square(y - pred_y))\n",
+ " optimizer = tf.train.GradientDescentOptimizer(learning_rate=learning_rate).minimize(loss)\n",
+ " with tf.Session() as sess: \n",
+ " sess.run(tf.global_variables_initializer())\n",
+ " \n",
+ " for epoch in range(n_epochs):\n",
+ " _, curr_loss = sess.run([optimizer, loss], feed_dict={x:train_X, y:train_Y})\n",
+ " \n",
+ " if epoch % interval == 0:\n",
+ " print ('Loss after epoch', epoch, ' is ', curr_loss)\n",
+ " \n",
+ " print ('Now testing the model in the test set')\n",
+ " final_preds, final_loss = sess.run([pred_y, loss], feed_dict={x:test_X, y:test_Y})\n",
+ " \n",
+ " print ('The final loss is: ', final_loss)\n",
+ " \n",
+ " # Plotting the final predictions against the true predictions\n",
+ " plt.plot(test_X[:10], test_Y[:10], 'g', label='True Function')\n",
+ " plt.plot(test_X[:10], final_preds[:10], 'r', label='Predicted Function')\n",
+ " plt.legend()\n",
+ " plt.show()\n",
" pass"
],
"execution_count": 0,
@@ -560,28 +771,108 @@
"metadata": {
"id": "A6MaclhK4rc6",
"colab_type": "code",
- "colab": {}
+ "outputId": "1b438af2-ff2a-4d17-de8a-178b0d77fcd7",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 551
+ }
},
"cell_type": "code",
"source": [
"# Okay! Now let's tweak!\n",
- "linear_regression(learning_rate=0.000034, n_epochs=500)"
+ "linear_regression(learning_rate=0.000034, n_epochs=500,interval=50)"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "Loss after epoch 0 is 48231.863\n",
+ "Loss after epoch 50 is 30.0967\n",
+ "Loss after epoch 100 is 30.02672\n",
+ "Loss after epoch 150 is 29.956907\n",
+ "Loss after epoch 200 is 29.88726\n",
+ "Loss after epoch 250 is 29.81783\n",
+ "Loss after epoch 300 is 29.748514\n",
+ "Loss after epoch 350 is 29.679358\n",
+ "Loss after epoch 400 is 29.610397\n",
+ "Loss after epoch 450 is 29.541628\n",
+ "Now testing the model in the test set\n",
+ "The final loss is: 32.236954\n"
+ ],
+ "name": "stdout"
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "image/png": 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Y10svq5ws65BCFkJke4qiMPvADIZuH4xWo2VM7Yl8Wq6dnC8GdCeOYx47Cu9V\nKwFwvvgy1gFhOF+trXKyrEcKWQiRrdmcNvpG9eT7E98QZM7DvCZLeDlfdbVjqU579gyW8REYv/0a\njceDs0IlbAMGk1S/UZZek1hNUshCiGzH5rSx/dJWNsVsYM3ZX4i5c46qeV5kQdOl5LXkUzueqrSX\nLmKeMBbv5YvRuFy4ypTFGjKYpNfekCJOY1LIQogsT1EU/rh5lE3nN7AxZj27Lm/H4XYAYNZb6FC+\nM0NqjsCoM6qcVD2aa9cwTxmPadF8NA4HrhIlsQUPxPGfd0GrVTtetiCFLITIkuLst9hyIYqNMevZ\ndH4Dl62Xku97IXcF6hVqQL3CDXgpb3W8dF4qJlWX5uYNzNOnYJo3C43NhrtwEaz9QnE0/wD0UhHp\nSUZbCJEluD1u9sVG3y3gmA1EX9uNR/EAkMs7F++Wak69Qg2pW7gBecx5VE6rPk38bUwzp2OaOR1t\nwh3cefNhGzoS+8etwCv7/oGiJilkIUSmdcV6mU0xG9h0fj2bz2/iluMWADqNjmp5XqJ+4YbUK9SA\nCoGV0Gl1KqfNIKxWTFMmYJ42CW1cHJ7cuUkIGUhi63ZgkiUk1SSFLITINBwuB1suRLEp5u654KM3\nDyffV8CnIG+W+A91CzWgdsE6+Blzqpg0A7LbMS2aB1Mn4nPtGp6cOUkYPJTEdp3Ax0ftdAIpZCFE\nBqYoCmdun0o+D7zt0lZsThsA3jrv5PPA9Qs1opT/c3Ld8IMkJeG9fAnmiWPRXb4Evr5Y+4WS2KU7\nSg4/tdOJv5FCFkJkKAlJd/j14lY2xqxj4/kNxMSfTb6vTO4y1M5fj3qFG1Ij/yuY9HKI9aFcLozf\nrcAyLhxdzDkUkwnbZ70xDxmEzSPniDMiKWQhhKo8iofD1w+y6fwGNsVs4LcrO3F6nAD4euXgjeJv\nJZ8Lrly8LLGxd1ROnMF5PBh/WIl5zCj0p06ieHlh69QV22d9UPLkwRzgCzKGGZIUshAi3V1PvM7m\n8xvZGLOeqPMbiU28BoAGDZWCKlOvUAPqFm5I1aBqGHQGldNmEoqC1y8/Y4kYgf7oERS9nsTW7bD1\n7oenQEG104kUkEIWQqQ5l8fF7qu/sylmHZtiNrA/dh8KCgCBpiDeL/0R9Qs3pE7B+gSYAlROm8ko\nCoZN67GMHoFh/14UrRb7Bx9j7RuCp2gxtdOJJyCFLIRIE+fvxNy7JGkDWy5EcScpHgCD1kDN/K9S\nr3BD6hVuQLmAF9BqZCaop2HYthXL6OEYftsJgP2d97D1G4C71HMqJxNPQwpZCJFqdl7ewc+nfmBj\nzHpOxB1Pvr1IjqI0f+596hUeLqbtAAAgAElEQVRqyKsFauHj5atiysxP//suLOEj8doaBYCj6RtY\nQwbhLveCusHEM5FCFkI8syR3EsN2hDH7QCQAZr2ZxkWaUq9wA+oVbkhxvxIqJ8wa9Af2YY4YiXHd\nGgCS6jfEGjIIV+WqKicTqUEKWQjxTM7fiaHjmk+JvraH5/xLM/yVcGoWeDVbL9SQ2nRHj2AZMwrj\nzz8CkFTzVayhYbiq11A5mUhNUshCiKe29uwv9NjQmThHHC2e+5CIOhPwMcisT6lFd/ok5jGjMf73\nOzSKgrNqNawDvsBZq44shZgFSSELIZ6Y0+1k1K5hTN83GW+dNxPqTuWTMq1lpqxUoo05h3nCGLxX\nLEfjduN8oQK2AYNJathEijgLk0IWQjyRSwkX6bS2Lb9d2UlxvxLMbbKYF3KXVztWlqC9chnzxLF4\nL12ExunEVfp5rMGDSHqjmaxJnA1IIQshUmxjzHq6r+/IDfsN/lPiXSbUm4KvVw61Y2V6mthYzFMn\nYlo4F43djrtoMazBA3G80xx0skpVdiGFLIR4LLfHzdjfRzFxzzgMWgPhtcfTtlwHOUT9jDRxtzDN\nmIp5diQamxV3wULY+oZgf/8jMMgMZdmNFLIQ4pGuWq/QZV17tl3aSuEcRZnXeBEVgyqrHStT09yJ\nxzQ7ElPkNLTxt3EH5cEW9iX2lp+CUT6dnl1JIQshHmrrhc10Wdee2MRrvFbsTabUnyHrDD8Lmw3T\n/DmYp01Ee/MmnoAAEoaOJLFNezCb1U4nVCaFLIT4F7fHzaTocYz9fTRajZbhr4ymU4Vucoj6aTkc\neC9ZgGXiOLSx1/D45cQ6IIzEjl1QfGTWMnGXFLIQ4j6xtli6re/A5gubKOBTkDmNF1It70tqx8qc\nnE68v16GecIYdBcv4LH4YO3Tn8Sun6H4yZEGcT8pZCFEsp2XttNpXVuuWC/TqEgTpjaYSS5vWX3p\nibndGL//BsvY0ejOnUXx9sbWrSe2Hr1QcudWO53IoKSQhRB4FA/T9k5m9K5hAITVGEb3Sj1lFaYn\n5fFg/GkV5jGj0J84juLlha1DZxI/74snT16104kMTgpZiGzupv0Gn23owrpza8hrycfsRguonr+m\n2rEyF0XBa+1qLOEj0B8+iKLTkdiqDbbe/fEULKR2OpFJSCELkY3tvvIbHde24WLCBeoWqs/0BnMI\nNAeqHSvzUBQMURuxRIzAEL0HRaPB3uJDrH1D8BSXFa7Ek5FCFiIbUhSFWQemM2zHF3gUDyEvDaJX\nlX7otDIrVEoZdmzDPHo4Xju3A2B/6x1s/QfgLv28yslEZpWiQrbb7bz55pt069aNd999l8WLFxMR\nEcFvv/2GxWIBoFy5clSpUiX5OQsXLkQnU74JkeHcdsTx+cbu/N+Znwg0BTGz0TxqFayjdqxMQ7/n\ndyzhI/DavAkAR5PXsAYPwl2+gsrJRGaXokKOjIzEz88PgFWrVnHjxg2CgoLue4yPjw9LlixJ/YRC\niFSz71o0Hda2ISb+LK/kr8XMxvPJY86jdqxMQXfwAJYxIzGu+QWApDr1sIYOxlX1RZWTiazisYV8\n6tQpTp48Sd26dQFo2LAhPj4+/PTTT2mdTQiRShRFYf6hOQzZNhCnx0mfqv3p9+IA9Fo5a/U4uuPH\nMI8ZhfeP/wXA+XINrAPCcNZ8VeVkIqt57E9jREQEYWFhrFq1Cri7J/wgSUlJ9O3bl4sXL9KkSRPa\ntm2bukmFEE/lTlI8fTb15IdTKwnwDmB6wznUL9xQ7VgZnvbMaSzjwjF+/w0ajwdn5SpYQ8Nw1q0v\naxKLNPHIQl61ahWVKlWiUKHHf2w/ODiYt956C41GQ8uWLalWrRrlyz96jVR/fzN6fdqeZw4MlGnp\nnpWMYepQYxz3X9lPi5UtOHHzBK8UeoWvm39NwRwF0z1HakrzcYyJgREjYP58cLuhQgUYPhxDs2bk\nzCJFLD/TqSO1x/GRhRwVFcX58+eJioriypUreHl5kTdvXmrW/Pc1ih999FHy19WrV+f48eOPLeRb\nt2xPGTtlAgN9iY29k6avkdXJGKaO9B5HRVFYenQRg7YGY3fb6VG5FwNeCsPgMGTq/z/Tchy1V69g\nmjwe0+IFaJKScJUshS1kEI5mb4NWC9cT0uR105v8TKeOpx3HR5X4Iwt50qRJyV9PnTqVAgUKPLCM\nT58+zfTp0xk3bhxut5vo6GiaNm36xEGFEM8uwZlA8ObefHd8BTmNOZnbZBGNi76mdqwMS3PjBuZp\nkzDNn40mMRF34aJY+4fieO990Ms5dpF+nvi/tsjISLZv305sbCwdO3akUqVKBAcHkzdvXpo3b45W\nq6V+/fpUqCCXAAiR3v64eZQOa1pz/NYxqgRVZU6TRRTyLax2rAxJczsOU+Q0TLNmoLUm4M5fANvw\nYOwftQSDQe14IhvSKIqiqPXiaX3YRA7NPDsZw9SRHuP49R/LCN3SF5vLRucK3QirMQwvnVeavmZ6\nS5VxTEjAPHcmpulT0N6OwxMYhK1XXxJbtQVv79QJmoHJz3TqSPdD1kKIjM/mtDFwa3+W/7EEX68c\nzGuyhGYl/qN2rIwnMRHTwnmYp4xHe+MGHn9/EsKGkdiuI9yb4EgINUkhC5GJnbx1gvZrWnP05mHK\n567I3CaLKOZXXO1YGYvDgffSRZgnjUN39Qoe3xxYgweS2Lkbim8OtdMJkUwKWYhMauWJb+kb9TlW\nZwJtyrVn2Cuj8dZn/UOuKeZy4b1iOebxEegunEcxW7D26kdi1x4o/rnUTifEv0ghC5HJ2F12wrYN\nYNHheVgMPsxqNJ93SjVXO1bG4XZj/O93mMeORn/mNIrRiK1zd2w9+6AEykpWIuOSQhYiEzlz+zQd\n1nzKwev7KZOrHPOaLKakfym1Y2UMHg9eP/+EZcxI9Mf+QDEYSGzbAVuvfnjy5Vc7nRCPJYUsRCbx\n06kf6LWpO3eS4vmkTGtGvjoGs8Gsdiz1KQpe69dgDh+J4eB+FJ2OxI9bYesTjKdwEbXTCZFiUshC\nZHBJ7iSG7Qhj9oFIzHozU+vP5IPnP1Y7lvoUBcPWzVhGD8ew53cUjQb7uy2w9Q/FXUKOGojMRwpZ\niAwsJv4cnda2IfraHp7zL83cJot5PlcZtWOpTr9zB5aIEXht2wqA4423sAYPxF2mrMrJhHh6UshC\nZABJ7iRsTis2lw2b04bNZeXYzT8Y9GswcY44Wjz3IRF1JuBjePBqa9nG7t34hQzAa+N6ABwNG2ML\nGYSrYmWVgwnx7KSQhUgBRVHuK0ub00aiy3bvNuu9221/K1Ur1j8f77Ti1iVxK+F28jb+eu7d7bk8\nrge+rrfOmwl1p/JJmdZosshKQ09Dd+QwlvARsPpnvICkWnWwhgzG9dLLakcTItVIIYssze6yczb+\nDOfizxLvuP3gUv3b9/eX6v23pwatRotZb8FsMGPWm8nlHYBZb8ZssGDWm+7dfvd+H4MP/yn5HmUC\nsu9hWN3JE5jHjsK4aiUaRYEaNYjrNxBnrTpqRxMi1Ukhi0zP7rJzLv4sp2+f4nTcKc7cPs2Z23f/\nvZhwAYUnm67dqDMml6S/MRf5fQre+958X5neLdF7/967zXLvNtM/Hl84bx5stz0YdcZsvaebUtqz\nZ7CMj8D47ddoPB6cFSphGzAYvw/exZlFlkEU4p+kkEWm8Gfpnrl9+q/ijT/NmbhTDy3dfJb81Mz/\nKsVzlqBIjmL4e/tj0pv+Vqr3/jWYsdz72qQ3o9em/o9FgNkXj1Um9H8c7aWLmCeMxXv5YjQuF67n\ny2ANGUzS62+CRnP3f0JkUVLIIsNwuB2cu31vT/feHu7p26c4e/s0F+6cf2jp1sj/CsX9SlAsZwmK\n5ShO8ZwlKJqjmFyjm4lorl3DPGU8pkXz0TgcuIqXwBY8EMd/3gWdTu14QqQLKWSRrv5eun8W7p+H\nmB9Wunkt+ZJLt6hfcYr7lbi311sUi0FW6cnMNDdvYJ4+BdO8WWhsNtyFCmPtF4qjxYegl19PInuR\n/+JFqnO4HcTEn/vbOd1TnE5B6VbPX/Punq5fCYrdK96ifsWkdLMgTfxtTDOnY5o5HW3CHdx582Eb\nMgL7J63BK2ut4SxESkkhi6eS5E5K/iDVmXvFe/r26buHlxPO41E8/3pOHnPev5VucYr5lZDSzW6s\nVkzzZmGeNgltXBye3LlJCB5A4qftwWRSO50QqpJCFk9k/bk1fLFtIKdvn3po6b6Ut3ryYeU/i7eY\nX3Ep3ezMbse0aB7myRPQXo/F45eThEFDSGzfGXyy+WQnQtwjhSxSxKN4mLhnLGN+G4VBa0gu3WJ+\nxe8V79093Ww/k5S4X1IS3suXYJ44Ft3lS3h8fLH2DSGxS3cUv5xqpxMiQ5FCFo8V77hN9w2dWHP2\nFwr6FGJB06VUDJKpCsUjuFwYv1uBZVw4uphzKCYTth69sHX/HCUgQO10QmRIUsjikQ5fO8xb3/2H\n07dPUatgXWY3WkCASX6hiofweDCu+h7z2NHoT51E8fLC1rELtp59UfLkUTudEBmaFLJ4qB9P/pfP\nN3XD6rTSo3IvBr78RZpMmiGyAEXB65efsUSMQH/0CIpeT2Krttj69MdToKDa6YTIFOS3q/gXl8fF\nqF3DmLZ3EhaDhbmNF/FWyXfUjiUyIkXBa+M6zOEjMezfi6LVYm/xIdZ+oXiKFVc7nRCZihSyuM+N\nxBt0XteOLRc2UdyvBD9+/ANBmsJqxxIZkOHXLVhGD8fw+y4A7P95F1v/AbifK61yMiEyJylkkWz/\ntb20Xd2SCwnnaVL0NaY1mEXJoELExsoczOIv+t93YQkfgdfWzQA4mr6ONXgQ7hfKq5xMiMxNClkA\n8PUfy+i/uRdJ7iRCXhpE76r90Wq0ascSGYj+wD7M4SMwrl8LQFK9BlhDBuGqUk3lZEJkDVLI2VyS\nO4kvtg1g/qE55PDyY0HTpTQs0kTtWCID0R09gmXMKIw//whAUo1XsA0Iw1m9psrJhMhapJCzsSvW\ny7Rf05rfr+yiTK6yLHhtGcX9SqgdS2QQutMnMY8ZjfG/36FRFJxVqmId8AXO2nVlGUQh0oAUcja1\n6/JO2q9pxTXbVd4p+R4T6k2TqS0FANqYc5gnjMF7xXI0bjeucuWxDhhMUqOmUsRCpCEp5GxGURTm\nH5pD2LZQFEXhy5qj6FKxOxr5RZvtaa9cxjxxLN5LF6FxOnE9VxpryCCS3ngLtPJ5AiHSmhRyNpLo\nSiR4c29WHFtOblNuZjdeyKsFaqsdS6hMExuLeepETAvnorHbcRcthrX/ABzvtgCdTu14QmQbUsjZ\nxPk7MbRd3ZIDsfuoHFSF+U2WUsBXZlDKzjRxtzDNmIp5diQamxV3gYLY+oZg/+BjMBjUjidEtiOF\nnA1sPr+JzuvactN+k0/KtGZ0rXF4673VjiVUorkTj2l2JKbIaWjjb+MOyoMtbCj2lm3AaFQ7nhDZ\nlhRyFqYoCtP2TWbkzqHoNDrG1ZlMq7Jt5HxxdmWzYZo/B/O0iWhv3sQTEEDC0JEktmkPZrPa6YTI\n9qSQs6iEpDt8vqk7P51aRV5LPuY3WUK1vC+pHUuoweHAe8kCLBPHoY29hieHH9YBYSR27ILi46t2\nOiHEPVLIWdCpuBO0+eUTjt36g+r5ajK3yWKCzEFqxxLpzenE++tlmCeMQXfxAh6LD9Y+/Uns0gMl\np7/a6YQQ/yCFnMWsPvN/dN/QiTtJ8XSq0JUhNUZg0MkHdLIVtxvj999gGTsa3bmzKN7e2Lr1xNaj\nF0ru3GqnE0I8hBRyFuFRPIz9fTTjd0dg0puY3mA2LUp/qHYskZ48Hrz+9wOWiJHoTxxHMRhIbN8J\nW69+ePLkVTudEOIxpJCzgDj7Lbqt78j6mLUUzlGUBU2XUj53BbVjifSiKHitXY0lfAT6wwdRdDoS\nW36KrXd/PIVk6UwhMgsp5EzuyI3DtPnlY87Gn6FeoQbMbDQPf+9cascS6UFRMGzehCV8OIboPSga\nDfbmH2DtF4qnuMxJLkRmI4Wcif33xHf03tQDm8tG76r9CH5xEDqtzKyUHRh2bMMcPgKvHdsAcDR7\nG2vwQNyln1c5mRDiaUkhZ0Iuj4thO75g5v5p+Bh8WdB0GW8Ub6Z2LJEO9NG7sYSPwCtqIwCOxk2x\nhQzCVb6iusGEEM9MCjmTibXF0mltG7Zd2kqpnM+x8LXllPJ/Tu1YIo3pDh3EEjEC45pfAEiqXQ9r\n6CBc1eTaciGyCinkTCT66m7arW7FJetFXi/WjKkNIvH1yqF2LJGGdMePYR4zCu8f/wuA8+UaWAeE\n4az5qsrJhBCpTQo5k1h2ZDEhW/rg9DgZ9PIQelbpI1NgZmHaM6exjAvH+P03aDwenJUqYw0Nw1mv\ngaxJLEQWJYWcwTncDgZuDWbJkQXkNOZkZqP51C/cUO1YIo1oL5y/uybxV0vRuFy4yr6ANXQwSU1e\nkyIWIouTQs7ALiVcpP2aVuy5upsXcldgQdOlFMlRVO1YIg1or17BNHk8psUL0CQl4SpZClvwQBxv\nvQNardrxhBDpQAo5g9p+8Vc6rP2U64mxNH/uA8bVmYzZICvyZDWaGzcwT5uEaf5sNImJuAsXxdo/\nFMd774NefjyFyE7kJz6DURSFOQciGbJ9EBqNhlGvjqF9+c5yvjiL0dyOwxQ5DdOsGWitCbjzF8A2\nPBj7Ry3BIHOPC5EdSSFnIDanjb5RPfn+xDcEmoKY22QRNfK/onYskZoSEjDPnYlp+hS0t+PwBAaR\nMDCMxFZtwdtb7XRCCBVJIWcQZ2+foe3qlhy+cZCqeV5kfpMl5PPJr3YskVoSEzFFTsM8ZTzaGzfw\n+PuTEDaMxHYdwWJRO50QIgOQQs4ANsaso8u69sQ54vi0XHtGvBqOUWdUO5ZIDQ4H3ssWw+Rx+Fy+\njMc3B9bggSR27obiK9eQCyH+IoWsIo/iYUr0BEbvGo6XzotJ9abzcZlWascSqcHlwvubrzCPj0B3\nPgbMZmyf98XW7TMUf1n8Qwjxb1LIKrmeeJ2eG7qwPmYtBXwKMr/JEirnqap2LPGs3G6Mq77HPGYU\n+jOnUYxGbJ27Yx72BVaNSe10QogMTApZBb9e3ELXdR24artC3UL1md5gDoHmQLVjiWehKHj9/BOW\nMSPR/3EUxWAgsU37u2sS58uPOdAXYu+onVIIkYGlaMYBu91Ow4YNWblyJQCLFy+mXLlyWK3W5Mf8\n+OOPvPfee7Ro0YJvv/02bdJmci6Pi/DfRvDeD824Yb9OWI1hfP3mSinjzExR8Fq3mpwNa+PXriW6\n48dI/KglN7fvIWHMRDz55IN5QoiUSdEecmRkJH5+fgCsWrWKGzduEBQUlHy/zWZj+vTpfPfddxgM\nBpo3b06jRo3ImTNn2qTOhC7euUCX9e3ZdXkHhX2LMLPRPKrllZV6MjPDligso4dj2PM7ikaD/d0W\n2PqH4i5RSu1oQohM6LGFfOrUKU6ePEndunUBaNiwIT4+Pvz000/Jj9m/fz/ly5fH19cXgCpVqhAd\nHU39+vXTJnUm88uZn/l8Y1fiHHG8VeIdxtedjJ9R/ljJrPS7dmIJH47Xtq0AOF5vhjVkEO4yZVVO\nJoTIzB57yDoiIoLQ0NDk7318fP71mOvXr5Mr11+fHM2VKxexsbGpFDHzsrvsDNzan09/+Qi7y864\nOpOZ03ihlHEmpd8Xjd+H7+LfrDFe27biaNiYW+s2E79wmZSxEOKZPXIPedWqVVSqVIlChQo90UYV\nRUnR4/z9zej1uifa9pMKDPRN0+0/zLHrx/jwxw/Zd2UfZQPLsqL5Cl4IekGVLM9KrTHMMA4ehC++\ngFWr7n5frx6MGIGxZk2e5GrxbD+OqUTG8dnJGKaO1B7HRxZyVFQU58+fJyoqiitXruDl5UXevHmp\nWbPmfY8LCgri+vXryd9fu3aNSpUqPfbFb92yPWXslAkM9CVWhU+2rvhjOSFb+mJzWWlVtg3DXwnH\nrDGrkuVZqTWGGYHu5AnMY0dhXLUSjaLgrPYS1gFhOGvVufuAJxiX7DyOqUnG8dnJGKaOpx3HR5X4\nIwt50qRJyV9PnTqVAgUK/KuMASpWrMjgwYOJj49Hp9MRHR3NwIEDnzhoZpeQdIeQLX359vjX+Hrl\nYHajBbxd6j21Y4knpD13Fsv4CIzffIXG48FZoRK2AYNJqt9I1iQWQqSZJ74OOTIyku3btxMbG0vH\njh2pVKkSwcHB9O3bl/bt26PRaOjevXvyB7yyiwOx++i0ti2nb5+iSlBVZjaaT1G/YmrHEk9Ae+ki\n5onj8F62CI3Lhev5MlhDBpP0+ptSxEKINKdRUnrCNw2k9WGT9Dg08+dyicN2fEGSJ4nulT5nwMth\neOm80vR100t2OLyluXYN89QJmBbOQ+N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DqKFw5i6Da+FiSGSU0emIiIj+gn8Nsq4j5Ne/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\nSUVORK5CYII=\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "tags": []
+ }
+ }
+ ]
},
{
"metadata": {
"id": "peoHmV2M40uU",
"colab_type": "code",
- "colab": {}
+ "outputId": "b8620eca-2a2f-496e-987f-d6073d545ae1",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 721
+ }
},
"cell_type": "code",
"source": [
- "linear_regression(learning_rate=0.0000006, n_epochs=1000)"
+ "linear_regression(learning_rate=0.0000006, n_epochs=1000,interval=50)"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "Loss after epoch 0 is 48231.863\n",
+ "Loss after epoch 50 is 5538.5845\n",
+ "Loss after epoch 100 is 659.65924\n",
+ "Loss after epoch 150 is 102.101036\n",
+ "Loss after epoch 200 is 38.38278\n",
+ "Loss after epoch 250 is 31.10012\n",
+ "Loss after epoch 300 is 30.266733\n",
+ "Loss after epoch 350 is 30.170422\n",
+ "Loss after epoch 400 is 30.158295\n",
+ "Loss after epoch 450 is 30.155851\n",
+ "Loss after epoch 500 is 30.154459\n",
+ "Loss after epoch 550 is 30.15318\n",
+ "Loss after epoch 600 is 30.151974\n",
+ "Loss after epoch 650 is 30.150717\n",
+ "Loss after epoch 700 is 30.149467\n",
+ "Loss after epoch 750 is 30.148268\n",
+ "Loss after epoch 800 is 30.147\n",
+ "Loss after epoch 850 is 30.145763\n",
+ "Loss after epoch 900 is 30.144552\n",
+ "Loss after epoch 950 is 30.143293\n",
+ "Now testing the model in the test set\n",
+ "The final loss is: 33.00555\n"
+ ],
+ "name": "stdout"
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "image/png": 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OVjhIIQshirwMZwZDtg7gy2OfU8ZSliWdVtK49ENqx8o3dPv/xDJ1Esav1wPg\neLQF1vBxuJo2UzlZ4SKFLIQo0o6lHqH7hi4cvHyApmWbs7DjckqbS6sdK1/QHT2COXoSxnVr0SgK\nziYPYx09DmeLVmpHK5SkkIUQRYrT7WTPxZ/YdnoL2xK3sC9pLwCh9XvzziOT8NIVrRWGbkR78gSW\n6VEYP/0IjceD88FgbKPH4mjbHuSSrzwjhSyEKPROpZ/MLuCdZ7aT4bwKgEFr4LHyLelapzvP1nhB\n5ZTq0549gzkmGu8PV6BxuXDVroN11Fgcjz8pRXwfSCELIQodq9PKD+e+Y+vpzWxL3MKx1KPZ91Xx\nr0rniq/QNiiER8q3wMfgo2LS/EF78QKmmdMxLV+CxuHAVb0GtpGjsf/nedBq1Y5XZEghCyEKPEVR\nOHB5P9tOb2Fr4mZ+PLcLh8cBgMXgQ6fKT9A6qB1tKrajin9VldPmH5qUFMyzYzEtXoAmMxN3UGWs\nI0Zhf/Fl0Es93G8y4kKIAulyVgo7EuPZmriZ+MStXLCez76vfqkGtKnYjjZB7XioTFM5LvwPmrRU\nTPNmYYqbh9aagbtceWzvhZH1ahcwGNSOV2RJIQshCgSXx8WuxF2s/e1L4hO3kHDxFxQUAEp6l+SF\nGp1pE9SO1hXbEWgOVDlt/qTJuApxMykRPQ1tehqegECuRrxNVpdu4C2LZahNClkIkW+dvXqGbYnX\nTsbacSaeNHsqAHqtnqZlm9M2KIQ2FdtRP6ABWo0c67wpmw3T4g8wz54Bly9DiRJkjI8ks3tPMJvV\nTif+IoUshMg3Ml2Z7D6369pu6NNbOHTlYPZ9Qb6VeKXeyzQPaEWLCi3x9fJTMWkBkZWFacUSzLHT\n0SZdwuPnD++9x+XXe6D4+KqdTvyDFLIQQjWKonDkymG2Jm5i2+kt/HDue7LcWQCY9WZCgjrQJqgd\nbYNCqOpfncBAP5KSrqqcugBwOvH+cCXmmKnozp3FY/HBOmwkmX0HUqpGEIqMYb4khSyEuK/S7Kns\nOLOd+MQtbD29mbMZZ7Lvq12iLm3+Ohu6adnmeOvluOYdcbkwrvkYy7QodKdPophM2Aa8hW3gEJSS\nJdVOJ25DClkIkafcHjf7kvZeOxZ8egu/XPwZt+IGoJixGM9Wf542FUNoXbEtZX3KqZy2gPJ4MH6x\nFvPUSeiPHUXx8sLWqy+2wcNRSss0oAWFFLIQItddtF74q4A3s/3MNi5nXQZAq9HSKLDJtZOxgtoR\nHNAInVanctoCTFHw+vr/sEydiP7AfhS9nsyuPbANHYGnfAW104k7JIUshMgVdred2XtjWX/sC/an\n/JH9/XKW8rxeuyttg0JoUb4S6wReAAAgAElEQVQVxbyLq5iykFAUvLZsxBw1CcO+vShaLVkvv4Z1\n+Cg8lauonU7cJSlkIcQ9O5V+kl7fvsmvSXsx6oy0rtiWNhVDaBsUwgPFa6KReZBzjWHndiyT38Ow\n5ycUjYas517ANnIM7uo11I4m7pEUshDinnx1fD1vbe1PuiONV2q9zqQW0TI/dB7Q7/4BS1QkXt/v\nBMD+xNNYw8bgrlNX5WQit0ghCyHuisPt4L0f3ibut7mY9CbebzuPV2q9rnasQke/9xcsUyLx2rYF\nAHu79tjCx+Jq0FDlZCK3SSELIe5Y4tXT9N7YjV8u7qFGsQdY2HE5tUvWUTtWoaL743csUydi3PA1\nAI4WrbGGR+B6qKnKyURekUIWQtyRb09+w6AtfUi1p/LiAy8ztdUM2UWdi3SHD2GOnoz3F2sBcD7c\nDGv4WJyPtVQ5mchrUshCiBxxup1M/PEd5v76Pt46b2Jaz+L12l3lhK1coj1xHMu0KRg/+wSNx4Mz\nuCHW8HE427QDGeMiQQpZCHFbZ6+eofem7vx84Ueq+ldjUccV1C1VT+1YhYL2TCLmmKl4f7gSjduN\nq049rOFjcXR8XIq4iJFCFkLc0pZTGxmwpTeXsy7zXPUXmN76fXy8ZGGCe6W9cB5z7DS8Vy5D43Dg\nqvEAtrAx2J9+FrSyclVRJIUshLghl8dF1E8TmZkwHS+tF1EtY+hWN1R2Ud8jTVIS5lkzMC1diCYr\nC3flKlhHhGN/oTPoZNayokwKWQjxLxes5+mzqQc/nPueSn6VWdRxOQ8GBKsdq0DTXLmMad5szAvm\nobFZcZevgG34KLJefg0MBrXjiXxAClkIcZ34xK3039yT5Mxknqr6H2LbzMbP6K92rAJLczUdU9xc\nTPNmo72ajrt0GWzj3iGry5tgNKodT+QjUshCCODaqkzReyYzY080eq2eSY9NJbR+H9lFfbesVkyL\nFmCeE4v2yhU8JUuS8c4kMruFgsmkdjqRD0khCyG4aLtIv02hfHd2B0G+lfigw1Ialm6sdqyCKSsL\n07JFmGfGoE1OwuNfDOuYt7H17As+cr22uDkpZCGKuJ1nttN3UyhJmZfoVOVJ3m8zV1ZkuhsOB96r\nlmOOnYbu/Dk8Pr5Yh48is+8AFP9iaqcTBYAUshBFlNvjJjZhGtE/T0ar0fLuo5Po8+AA2UV9p1wu\njJ9+hGV6FLrTp1BMJmyDhmIbMBilREm104kCRApZiCIoyZZE/8092X5mGxV8KrKgwxKalHlY7VgF\ni9uNcd1nmKMnoz9+DMVoxNa7H7ZBw1BKl1Y7nSiAcnT1eVZWFiEhIaxde21u1eXLl1O3bl2sVmv2\nY+rWrcsbb7yR/Z/b7c6bxEKIe/LDue9p+8mjbD+zjQ6VOrGl804p4zvh8eC1/guKt26OX7+e6E6f\nIvPNUC7/+CvWyCgpY3HXcvQJed68efj7X7vsYd26daSkpBAYGHjdY3x8fFixYkXuJxRC5AqP4mFW\nwgwm//QeGjSMa/4uA4IHo9XIrFA5oih4bdqAOWoSht/3oWi1ZL7aBduwMDyVKqudThQCty3kY8eO\ncfToUVq3bg1ASEgIPj4+rF+/Pq+zCSFySUpmCgO39GbL6U2UtZQjrsMSmpVtrnasgkFRMGzfhiUq\nEsMve1A0GrKefwnbyHDc1WqonU4UIrct5KioKMaNG8e6deuAa5+Eb8ThcDB8+HDOnj1Lx44d6d69\n+21fvHhxM3p93k4VFxAgc+7eKxnD3KHWOH5/+nte+ewVzqSfoWO1jqx4bgUBlgBVsuSG+zqOO3bA\nuHHX/gR44QU0EybgXa8e3vcvRa6Tn+nckdvjeMtCXrduHcHBwVSsWPG2GwoLC+OZZ55Bo9HQpUsX\nmjRpQv369W/5nCtXbHeW9g4FBPiSlHQ1T1+jsJMxzB1qjKNH8TD311lM3D0BBYUxTd9mcKNhYNOS\nZCuY/0/v1zjqf/kZy5RIvLZvA8DeviO2URG4Hvxr+tAC/DMhP9O5427H8VYlfstCjo+PJzExkfj4\neC5cuICXlxdlypThkUce+ddjX3311ezbzZo14/Dhw7ctZCFE3riSdZlBW/qy8dQGSpvLENd+MY+U\nf0ztWPme/vd9mKMmYty4AQBHyzZYwyNwNZGT3kTeu2Uhx8bGZt+eNWsW5cuXv2EZHz9+nDlz5jBt\n2jTcbjcJCQl06tQp99MKIW5rz4Wf6L2xO2cyEmlZoQ1zQz4g0Bx4+ycWYbpDB7FMnYRx/bVDc86m\nzbGOHofzEfklRtw/d3wd8rx589i1axdJSUn06tWL4OBgwsLCKFOmDC+++CJarZa2bdvy4IMP5kVe\nIcRNKIpC3G9zePeHt3F73IQ9NIahjUei08qSfjejO34Uc/QUjGs/RaMoOBs2who+DmfrtiATpIj7\nTKMoiqLWi+f1cQw5VnLvZAxzR16PY5o9lbe2DuDrE+spZQpgfvtFtKzQOs9eTy25NY7a06cwx0zF\n++PVaNxuXHXrYw0fi6NDp0JfxPIznTvu+zFkIUT+9+ulBHpu7Mbp9JM8Wq4F89svorSljNqx8iXt\n+XOYZ0TjvWo5GqcT1wM1sYaNwfHUf0Ar12MLdUkhC1FAKYrC4j8WMP77CJweJ8OahDGyyWjZRX0D\nmkuXMM+KwbR0ERq7HXflKlhHjsb+/Eugk/ES+YMUshAFULo9jWHxg/ny2OeU9C7J3JCFtAlqp3as\nfEdzOQXz3FmYFs5HY7PhrlAR2/BRZHV+FQwGteMJcR0pZCEKmN+T9hH6bVdOpp+gWdlHiGu/mLI+\n5dSOla9o0tMwzZ+Daf4ctBlXcZcug+3t98h6vSsYjWrHE+KGpJCFKCAURWHZn4sZ9304dredwQ2H\nEd50LHqt/Bhny8jAtCgO85yZaFNT8ZQqRUbYaDLfDAWTSe10QtyS/CQLUQBkOK4yYvtbrD2yhuLG\n4izptJKQSh3VjpV/ZGZiWroI86wYtMnJeIoVIyNiPJmhfeAm0/0Kkd9IIQuRz/2Z/Ac9N3blWOpR\nmpR+mA86LKW8bwW1Y+UPdjveK5dhjp2G7uIFPD6+WEeEk9l3AIqfv9rphLgjUshC5FOKorDqwHLG\n7BxJljuLfg0GMbbZBAw6ORkJpxPvTz7EPD0K3ZlEFLMZ2+Bh2PoPQilRUu10QtwVKWQh7gOH20Fq\n1hVsLhs2pw2by/q3PzP/9rUNm9OKzWXjyJVDfHvyG/yNxVjQYSmdqjyh9ttQn9uN8dOPsERPRnfy\nBIrRiK3PAGyDhqIEyvSgomCTQhaCaysjZZel00qm6wYl+c8idWVmP/7vRfr3x/13Oy6P665yNQxs\nxAcdlhHkVymX33EB4/Hg9X9fwPQp+B04gGIwkNm9J7YhI/CUlTPMReEghSwKHUVRSM5M5kTacY6n\nHeVE2jFOpZ8k3Z6eXZzXivJ/JZrpysyV19ZqtJj1FswGM2a9mZKmUpj1ZvzNvhgU41/ft/zjTzNm\nw7XbJv1/vzbjY/DlgeI1i/ZEH4qC17ffYImaiP7P30GnI/P1rtiGheGpGKR2OiFylRSyKJBuVLrX\nbh/nRNpxrjrSb/pco86YXYIlvEtSwRB0fTHqzZj0puzb/y1Ls96M5e/f0/9VoAZzdsEadUY0N5gL\nWeYPvkOKgmHbFixRkRj2JqBoNGS9+DLekyPJ8C+tdjoh8oQUssi37qZ0jTojlf2qUKV8C6r6V6OK\nf1Wq+lejsn8VihuLY9Kbi/YnzgLAsOs7LJPfw/DjDwBkPfMctpGjcdeshXeAL8gvNqKQkkIWqrrb\n0q3iX5XK/teXbhX/qpTzKY9WI4sEFET6n3/EMmUiXjvjAbB3fBxrWATu+rKUqygapJBFnsvN0q3q\nX42yPuWkdAsR/W+/Yp4SiXHzRgAcrdtiDR+Lq1ETlZMJcX9JIYtccTel663zprJ/lezS/XvxSukW\nfroD+7FMnYTxqy8BcDR/FNvocTibPaJyMiHUIYUs7oiiKOxL2svBywfuqHSr+Le8bteylG7RpTt2\nBHP0ZIyff4ZGUXA2fghr+FicLVvDDU6IE6KokEIWOWZz2hgeP5jPjnxy3feldEVOaE+dxDI9CuMn\nH6LxeHDWb4AtPAJHSEcpYiGQQhY5dDLtBN03dOHPlN9pFNiY12p3ldIVOaI9dxZzTDTeq5ejcblw\n1aqNNSwCx5NPSxEL8TdSyOK2tpzaSN/NPUmzp/Jm3VAiH5uCUSdryopb01y8iPn96ZiWL0Fjt+Oq\nWg1b2Bjs/3kedHLpmRD/JIUsbsqjeIjcEcnb297GS+dFbJs5vFb7DbVjiXxOk5KCec5MTIvi0GRm\n4g6qhHVEOPYXXwa9/JMjxM3IT4e4oXR7GgO39GHDya8p71OBJZ1WEhzYSO1YIh/TpKVimjcbU9xc\ntNYM3GXLYXtnElmvvQFeXmrHEyLfk0IW/3Lw8gG6ffMax9OO0bZKW2a3XkgpUym1Y4l8SpNxFdMH\n8zHNnYU2LRVPQCAZo8eS2bUHeHurHU+IAkMKWVzny6OfM3hrf2wuKwOC3yL26WlcScmdhRdEIWOz\nYVqyEPPsGWhTUvAUL07GuHfJ7NELLBa10wlR4EghCwBcHhcTd7/DnF9nYtZbWNhhGc9Ufw69Vv6K\niH+w2/FesQRz7HR0ly7i8fXDOiqCzN79UHz91E4nRIEl/9oKkjOT6bOxOzvPbqdaseos6bSKWiVq\nqx1L5DdOJ94frcIcMxXd2TMoZgvWoSPI7DcIpVhxtdMJUeBJIRdxv15KoPuGLpzNOEOnyk8wu10c\nfkZ/tWOJ/MTtxrjmYyzTpqA7dRLF2xtbv0HYBg1FKSXnFgiRW6SQi7DVB1YwascwHG4Hox8ex1uN\nh8sEH+J/PB6MX36Oeeok9EePoHh5kRnaG9uQEXhKl1E7nRCFjhRyEWR324nYOYrl+xdTzFiMZY+v\npm1Qe7VjifxCUfD65issURPRH/gTRacj841u2IaOxFOhotrphCi0pJCLmHMZZwn99g1+ubiHuiXr\ns6TTSir7V1E7lsgPFAWvrZswR03E8OteFK2WrM6vYh0+Ck+VqmqnE6LQk0IuQnad/Y6eG98kOTOJ\nF2p0Znrr9zEbzGrHEvmA4bsdWCa/h+HnHwHIevZ5bCPH4K7xgMrJhCg6pJCLAEVRWPDbXCbsGotG\no2HSY1MJrd8HjUzsX+Tpf9yNJSoSr+92AGDv9CTWURG469ZTOZkQRY8UciFndVoZHj+ItUfWEGAK\nZFHH5TQrJwvAF3X6XxOwTInEa+tmABxtQ7COisDVsLHKyYQouqSQC7ETacfp9s3rHLj8J01KP8zi\nTisoYymrdiyhIt2ff2CZOgnjN/8HgOOxllhHjcXVtJnKyYQQUsiF1OZT39Jvcy/S7Kl0qxtK5GNR\neOlkgv+iSnfkMOboSXivWwuA86GmWMPH4mzRSuVkQoj/kkIuZDyKh5g9U4n+eTJeOi/ebzuPV2q9\nrnYsoRLtieNYpkdhXPMxGo8HZ4OG2MIjcLRtD3IOgRD5ihRyIZJmT2XA5t5sPLWBCj4VWdJpJQ0C\nG6odS6hAeyYR84xovD9cicblwlW7LtZRETgef1KKWIh8Sgq5kDiQsp9uG17jRNpxWlZoQ1z7xZQ0\nlVQ7lrjPtBcvYI6dhveKpWgcDlzVa2ALG4P9medAK7OwCZGfSSEXAuuOfMaQbQOwuWwMajiUMU3f\nRqfVqR1L3Eea5GTMs2MxLV6AJisLd1BlrCPDsb/QGfTyYy5EQSA/qQWYy+PivR/GM2/fLCwGHxZ1\nXMHT1f6jdixxH2lSr2CaNwtz3Dw0NivucuWxDQsj69UuYDCoHU8IcQekkAuoJFsSvTd24/tzO6lW\nrDpLO62mZolaascS94nmajqmBfMwzZuNNj0NT0AgGWPHk9WlG3h7qx1PCHEXpJALoISLe+ix4Q3O\nWc/SqcqTzGkXh6+XLAxfJFitmBZ/gHn2DLRXruApUYKM8ZFkdu8JZpkGVYiCTAq5gFm5fxnhO4bj\n9DgZ0/RtBjcaJksmFgVZWZiWL8Y8MwZt0iU8fv5Yw8eS2bsfio+v2umEELlACrmAsLvtjNk5khX7\nl1LMWIz57RfTNihE7VgirzkceK9egXlGNLrz5/BYfLAOG0lm34EoxYqrnU4IkYukkAuAs1fPEPrt\nGyRc+oV6pR5kSaeVVPKrrHYskZdcLoxrPsYybQq606dQTCZsA97CNnAISkm5nE2IwkgKOZ/7/uxO\nem18k+TMZF564BWiW8XKkomFmceDcd1nmKMnoz92FMXLC1uvvtgGD0cpXVrtdEKIPCSFnE8pisL8\nfXN494dxaDQaJreIpke93rJkYmGlKHh9tR7L1InoDx5A0evJ7NoD29AReMpXUDudEOI+kELOh6xO\nK0O3DWDd0bUEmkuzsONympVtrnYskRcUBa/N32KOmoTht19RtFqyXn4N6/BReCpXUTudEOI+kkLO\nZ46nHqX7hi4cuLyfh8o0ZVHH5bJkYmGkKBh2xGOZEonhl59RNBqynnsB28gxuKvXUDudEEIFUsj5\nyMaT39B/c2/SHWn0qNeLdx+dLEsmFkKG3bswT4nEa9d3ANifeBpr2BjcdeqqnEwIoSYp5HzAo3iY\n9vMUpu2ZgrfOW5ZMLKT0CXuwTInEK34rAPaQDthGReBqICtyCSGkkFWXmnWFAVt6s+nUt1T0DWJJ\np5U8GBCsdiyRi3S//waxURRfvx4AR4vWWMMjcD3UVOVkQoj8RApZRb8n/0bohjc4mX6CVhXaENdh\nMSW85RrTwkJ36CDm6Ml4f/k5AM6Hm2ENH4vzsZYqJxNC5EdSyCpQFIXFfyxg/PcRODwO3mo0nPCH\nx8qSiYWE9vgxLNOmYPzsEzSKgjO4IYYpk0lt2BzksjUhxE1IId9nl7NSGLJtIBtOfEVJ75LMajef\nkEod1Y4lcoE28TTmmKl4f7QKjduNq049rOFjcXR8nIBAP0i6qnZEIUQ+lqNVCbKysggJCWHt2rUA\nLF++nLp162K1WrMf8+WXX/LCCy/w0ksv8emnn+ZN2gLuh3Pf0/bjx9hw4iseK9+SbS/vkjIuBLQX\nzuMzahglmjXEtGo57qrVSP9gKVe2foej0xPyqVgIkSM5+oQ8b948/P39AVi3bh0pKSkEBgZm32+z\n2ZgzZw5r1qzBYDDw4osv0r59e4oVK5Y3qQsYt8dNzC9Tmb4nCg0aRj88jsGNhsku6gJOk5SE+f0Y\nTMsWocnKwl25CtYR4dhf6Aw6+X8rhLgzty3kY8eOcfToUVq3bg1ASEgIPj4+rP/rjFGAffv2Ub9+\nfXx9ry0D16hRIxISEmjbtm3epC5AzmWcpf/mXuw69x3lfSowv/1impZtpnYscQ80Vy5jnjsL0wfz\n0disuMtXwDZ8FFkvvwYGg9rxhBAF1G0LOSoqinHjxrFu3ToAfHx8/vWY5ORkSpQokf11iRIlSEpK\nuu2LFy9uRq/P208SAQHqrRW7/tB6un/RnZTMFJ6r9RwLn1lICVOJ2z8xn1FzDPOVtDSIjYWYGEhP\nh7JlYWoUup498TUaud0oyTjmDhnHeydjmDtyexxvWcjr1q0jODiYihUr3tFGFUXJ0eOuXLHd0Xbv\nVECAL0kqnEhjd9t574e3WfDbPIw6I1EtY+hWNxR3hoakjIJ1Yo9aY5ivWK2YFsVhnh2LNjUVT8mS\n2N6ZRGa3UDCZIN0BOG65CRnH3CHjeO9kDHPH3Y7jrUr8loUcHx9PYmIi8fHxXLhwAS8vL8qUKcMj\njzxy3eMCAwNJTk7O/vrSpUsEBxfNyS2OpR6h98Ye/J68jweK1ySu/RLqlqqndixxNzIzMS1bhPn9\nGWiTk/D4F8M65m1sPfvCDfYUCSHEvbhlIcfGxmbfnjVrFuXLl/9XGQM0aNCAsWPHkp6ejk6nIyEh\ngTFjxuR+2nzu44OrGbVjODaXlddrdyXysSgsBovascSdcjjwXrkMc+w0dBfO4/HxxTp8FJl9B6D4\ny4mKQoi8ccfXIc+bN49du3aRlJREr169CA4OJiwsjOHDhxMaGopGo2HAgAHZJ3gVBRmOq4TtGMaa\nwx/jY/Alrv1inqvxotqxxJ1yufD+5EPM06PQJZ5GMZuxDRqKbcBglBIyg5oQIm9plJwe8M0DeX0c\n434cK/kt6Vd6bezGibTjNAxsRFz7JVT2Lzzr2BaJ401uN8bP12COnoz+xHEUo5HMbqHYBg1D+dvl\nffeiSIzjfSDjeO9kDHPHfT+GLG5OURQW/DaXd394G6fHyYDgtxjddJwsl1iQeDx4ffUllqmT0B86\niGIwXCviISPwlCuvdjohRBEjhXwXUjJTeGtrPzae2kApUwCz28XRNihE7VgipxQFr40bMEdNxPDH\nbyg6HZmvdsE2LAxPpcpqpxNCFFFSyHf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A+dYgExERDVAcZCIiIh3gIBMREekAB5mIiEgH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\nIiIiHfg/8upfN9Zk2JUAAAAASUVORK5CYII=\n",
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "tags": []
+ }
+ }
+ ]
},
{
"metadata": {
@@ -595,16 +886,51 @@
},
{
"metadata": {
- "id": "JKiHjGN15HPX",
+ "id": "Jtnn2I6U7uyX",
"colab_type": "code",
- "colab": {}
+ "outputId": "3161e918-ee5c-4784-f7ea-f0a8375b4b5a",
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 551
+ }
},
"cell_type": "code",
"source": [
- "# YOUR CODE HERE"
+ "linear_regression(learning_rate=0.00000999, n_epochs=1000000,interval=100000)"
],
"execution_count": 0,
- "outputs": []
+ "outputs": [
+ {
+ "output_type": "stream",
+ "text": [
+ "Loss after epoch 0 is 48231.863\n",
+ "Loss after epoch 100000 is 8.111055\n",
+ "Loss after epoch 200000 is 2.7679334\n",
+ "Loss after epoch 300000 is 1.4737933\n",
+ "Loss after epoch 400000 is 1.1608056\n",
+ "Loss after epoch 500000 is 1.0849591\n",
+ "Loss after epoch 600000 is 1.0665594\n",
+ "Loss after epoch 700000 is 1.061319\n",
+ "Loss after epoch 800000 is 1.061319\n",
+ "Loss after epoch 900000 is 1.061319\n",
+ "Now testing the model in the test set\n",
+ "The final loss is: 0.89677835\n"
+ ],
+ "name": "stdout"
+ },
+ {
+ "output_type": "display_data",
+ "data": {
+ "image/png": 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VrFixgqSkpDvaiIyMpHv37qxZs4Zy5cqxfv16+++NEELkYar4eAwD++LRuyvq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\nmTvF+RiTOALHb/4A9xavYtOgL6C0a3TvwPJyyDf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+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {
+ "tags": []
+ }
+ }
+ ]
}
]
}
\ No newline at end of file