TensorAct0.01.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6cd95708-ccae-424d-b6f4-548cbf3c5521",
   "metadata": {},
   "outputs": [],
   "source": [
    "%config IPCompleter.greedy=True # TAB键代码自动提示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "57df57f8-0d45-4bb7-935f-1af564370428",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.0.0\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "print(tf.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7a34cc7b-f9f8-48b6-acdd-c9cf381f9ef2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Train on 6 samples\n",
      "Epoch 1/500\n",
      "6/6 [==============================] - 1s 139ms/sample - loss: 12.2847\n",
      "Epoch 2/500\n",
      "6/6 [==============================] - 0s 493us/sample - loss: 9.8898\n",
      "Epoch 3/500\n",
      "6/6 [==============================] - 0s 486us/sample - loss: 8.0010\n",
      "Epoch 4/500\n",
      "6/6 [==============================] - 0s 466us/sample - loss: 6.5104\n",
      "Epoch 5/500\n",
      "6/6 [==============================] - 0s 434us/sample - loss: 5.3333\n",
      "Epoch 6/500\n",
      "6/6 [==============================] - 0s 809us/sample - loss: 4.4028\n",
      "Epoch 7/500\n",
      "6/6 [==============================] - 0s 2ms/sample - loss: 3.6665\n",
      "Epoch 8/500\n",
      "6/6 [==============================] - 0s 914us/sample - loss: 3.0831\n",
      "Epoch 9/500\n",
      "6/6 [==============================] - 0s 743us/sample - loss: 2.6200\n",
      "Epoch 10/500\n",
      "6/6 [==============================] - 0s 899us/sample - loss: 2.2517\n",
      "Epoch 11/500\n",
      "6/6 [==============================] - 0s 2ms/sample - loss: 1.9580\n",
      "Epoch 12/500\n",
      "6/6 [==============================] - 0s 2ms/sample - loss: 1.7231\n",
      "Epoch 13/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 1.5345\n",
      "Epoch 14/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 1.3825\n",
      "Epoch 15/500\n",
      "6/6 [==============================] - 0s 2ms/sample - loss: 1.2593\n",
      "Epoch 16/500\n",
      "6/6 [==============================] - 0s 2ms/sample - loss: 1.1588\n",
      "Epoch 17/500\n",
      "6/6 [==============================] - 0s 2ms/sample - loss: 1.0763\n",
      "Epoch 18/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 1.0081\n",
      "Epoch 19/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.9510\n",
      "Epoch 20/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.9029\n",
      "Epoch 21/500\n",
      "6/6 [==============================] - 0s 608us/sample - loss: 0.8619\n",
      "Epoch 22/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.8265\n",
      "Epoch 23/500\n",
      "6/6 [==============================] - 0s 829us/sample - loss: 0.7956\n",
      "Epoch 24/500\n",
      "6/6 [==============================] - 0s 631us/sample - loss: 0.7683\n",
      "Epoch 25/500\n",
      "6/6 [==============================] - 0s 687us/sample - loss: 0.7439\n",
      "Epoch 26/500\n",
      "6/6 [==============================] - 0s 454us/sample - loss: 0.7219\n",
      "Epoch 27/500\n",
      "6/6 [==============================] - 0s 626us/sample - loss: 0.7017\n",
      "Epoch 28/500\n",
      "6/6 [==============================] - 0s 884us/sample - loss: 0.6831\n",
      "Epoch 29/500\n",
      "6/6 [==============================] - 0s 656us/sample - loss: 0.6658\n",
      "Epoch 30/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.6495\n",
      "Epoch 31/500\n",
      "6/6 [==============================] - 0s 597us/sample - loss: 0.6341\n",
      "Epoch 32/500\n",
      "6/6 [==============================] - 0s 463us/sample - loss: 0.6195\n",
      "Epoch 33/500\n",
      "6/6 [==============================] - 0s 566us/sample - loss: 0.6055\n",
      "Epoch 34/500\n",
      "6/6 [==============================] - 0s 560us/sample - loss: 0.5921\n",
      "Epoch 35/500\n",
      "6/6 [==============================] - 0s 575us/sample - loss: 0.5791\n",
      "Epoch 36/500\n",
      "6/6 [==============================] - 0s 522us/sample - loss: 0.5666\n",
      "Epoch 37/500\n",
      "6/6 [==============================] - 0s 769us/sample - loss: 0.5545\n",
      "Epoch 38/500\n",
      "6/6 [==============================] - 0s 879us/sample - loss: 0.5427\n",
      "Epoch 39/500\n",
      "6/6 [==============================] - 0s 565us/sample - loss: 0.5313\n",
      "Epoch 40/500\n",
      "6/6 [==============================] - 0s 488us/sample - loss: 0.5201\n",
      "Epoch 41/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.5092\n",
      "Epoch 42/500\n",
      "6/6 [==============================] - 0s 484us/sample - loss: 0.4986\n",
      "Epoch 43/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.4883\n",
      "Epoch 44/500\n",
      "6/6 [==============================] - 0s 641us/sample - loss: 0.4782\n",
      "Epoch 45/500\n",
      "6/6 [==============================] - 0s 635us/sample - loss: 0.4683\n",
      "Epoch 46/500\n",
      "6/6 [==============================] - 0s 761us/sample - loss: 0.4586\n",
      "Epoch 47/500\n",
      "6/6 [==============================] - 0s 590us/sample - loss: 0.4491\n",
      "Epoch 48/500\n",
      "6/6 [==============================] - 0s 599us/sample - loss: 0.4399\n",
      "Epoch 49/500\n",
      "6/6 [==============================] - 0s 667us/sample - loss: 0.4308\n",
      "Epoch 50/500\n",
      "6/6 [==============================] - 0s 585us/sample - loss: 0.4219\n",
      "Epoch 51/500\n",
      "6/6 [==============================] - 0s 484us/sample - loss: 0.4133\n",
      "Epoch 52/500\n",
      "6/6 [==============================] - 0s 901us/sample - loss: 0.4048\n",
      "Epoch 53/500\n",
      "6/6 [==============================] - 0s 632us/sample - loss: 0.3964\n",
      "Epoch 54/500\n",
      "6/6 [==============================] - 0s 490us/sample - loss: 0.3883\n",
      "Epoch 55/500\n",
      "6/6 [==============================] - 0s 526us/sample - loss: 0.3803\n",
      "Epoch 56/500\n",
      "6/6 [==============================] - 0s 559us/sample - loss: 0.3725\n",
      "Epoch 57/500\n",
      "6/6 [==============================] - 0s 434us/sample - loss: 0.3648\n",
      "Epoch 58/500\n",
      "6/6 [==============================] - 0s 654us/sample - loss: 0.3573\n",
      "Epoch 59/500\n",
      "6/6 [==============================] - 0s 696us/sample - loss: 0.3500\n",
      "Epoch 60/500\n",
      "6/6 [==============================] - 0s 968us/sample - loss: 0.3428\n",
      "Epoch 61/500\n",
      "6/6 [==============================] - 0s 666us/sample - loss: 0.3358\n",
      "Epoch 62/500\n",
      "6/6 [==============================] - 0s 508us/sample - loss: 0.3289\n",
      "Epoch 63/500\n",
      "6/6 [==============================] - 0s 463us/sample - loss: 0.3221\n",
      "Epoch 64/500\n",
      "6/6 [==============================] - 0s 676us/sample - loss: 0.3155\n",
      "Epoch 65/500\n",
      "6/6 [==============================] - 0s 743us/sample - loss: 0.3090\n",
      "Epoch 66/500\n",
      "6/6 [==============================] - 0s 508us/sample - loss: 0.3027\n",
      "Epoch 67/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.2964\n",
      "Epoch 68/500\n",
      "6/6 [==============================] - 0s 926us/sample - loss: 0.2903\n",
      "Epoch 69/500\n",
      "6/6 [==============================] - 0s 560us/sample - loss: 0.2844\n",
      "Epoch 70/500\n",
      "6/6 [==============================] - 0s 609us/sample - loss: 0.2785\n",
      "Epoch 71/500\n",
      "6/6 [==============================] - 0s 597us/sample - loss: 0.2728\n",
      "Epoch 72/500\n",
      "6/6 [==============================] - 0s 648us/sample - loss: 0.2672\n",
      "Epoch 73/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.2617\n",
      "Epoch 74/500\n",
      "6/6 [==============================] - 0s 588us/sample - loss: 0.2564\n",
      "Epoch 75/500\n",
      "6/6 [==============================] - 0s 704us/sample - loss: 0.2511\n",
      "Epoch 76/500\n",
      "6/6 [==============================] - 0s 879us/sample - loss: 0.2459\n",
      "Epoch 77/500\n",
      "6/6 [==============================] - 0s 663us/sample - loss: 0.2409\n",
      "Epoch 78/500\n",
      "6/6 [==============================] - 0s 940us/sample - loss: 0.2359\n",
      "Epoch 79/500\n",
      "6/6 [==============================] - 0s 697us/sample - loss: 0.2311\n",
      "Epoch 80/500\n",
      "6/6 [==============================] - 0s 703us/sample - loss: 0.2263\n",
      "Epoch 81/500\n",
      "6/6 [==============================] - 0s 788us/sample - loss: 0.2217\n",
      "Epoch 82/500\n",
      "6/6 [==============================] - 0s 610us/sample - loss: 0.2171\n",
      "Epoch 83/500\n",
      "6/6 [==============================] - 0s 559us/sample - loss: 0.2127\n",
      "Epoch 84/500\n",
      "6/6 [==============================] - 0s 597us/sample - loss: 0.2083\n",
      "Epoch 85/500\n",
      "6/6 [==============================] - 0s 624us/sample - loss: 0.2040\n",
      "Epoch 86/500\n",
      "6/6 [==============================] - 0s 615us/sample - loss: 0.1998\n",
      "Epoch 87/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.1957\n",
      "Epoch 88/500\n",
      "6/6 [==============================] - 0s 644us/sample - loss: 0.1917\n",
      "Epoch 89/500\n",
      "6/6 [==============================] - 0s 796us/sample - loss: 0.1878\n",
      "Epoch 90/500\n",
      "6/6 [==============================] - 0s 562us/sample - loss: 0.1839\n",
      "Epoch 91/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.1801\n",
      "Epoch 92/500\n",
      "6/6 [==============================] - 0s 656us/sample - loss: 0.1764\n",
      "Epoch 93/500\n",
      "6/6 [==============================] - 0s 693us/sample - loss: 0.1728\n",
      "Epoch 94/500\n",
      "6/6 [==============================] - 0s 541us/sample - loss: 0.1693\n",
      "Epoch 95/500\n",
      "6/6 [==============================] - 0s 713us/sample - loss: 0.1658\n",
      "Epoch 96/500\n",
      "6/6 [==============================] - 0s 546us/sample - loss: 0.1624\n",
      "Epoch 97/500\n",
      "6/6 [==============================] - 0s 713us/sample - loss: 0.1590\n",
      "Epoch 98/500\n",
      "6/6 [==============================] - 0s 731us/sample - loss: 0.1558\n",
      "Epoch 99/500\n",
      "6/6 [==============================] - 0s 842us/sample - loss: 0.1526\n",
      "Epoch 100/500\n",
      "6/6 [==============================] - 0s 511us/sample - loss: 0.1494\n",
      "Epoch 101/500\n",
      "6/6 [==============================] - 0s 557us/sample - loss: 0.1464\n",
      "Epoch 102/500\n",
      "6/6 [==============================] - 0s 911us/sample - loss: 0.1434\n",
      "Epoch 103/500\n",
      "6/6 [==============================] - 0s 636us/sample - loss: 0.1404\n",
      "Epoch 104/500\n",
      "6/6 [==============================] - 0s 854us/sample - loss: 0.1375\n",
      "Epoch 105/500\n",
      "6/6 [==============================] - 0s 562us/sample - loss: 0.1347\n",
      "Epoch 106/500\n",
      "6/6 [==============================] - 0s 662us/sample - loss: 0.1319\n",
      "Epoch 107/500\n",
      "6/6 [==============================] - 0s 677us/sample - loss: 0.1292\n",
      "Epoch 108/500\n",
      "6/6 [==============================] - 0s 680us/sample - loss: 0.1266\n",
      "Epoch 109/500\n",
      "6/6 [==============================] - 0s 655us/sample - loss: 0.1240\n",
      "Epoch 110/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.1214\n",
      "Epoch 111/500\n",
      "6/6 [==============================] - 0s 483us/sample - loss: 0.1189\n",
      "Epoch 112/500\n",
      "6/6 [==============================] - 0s 676us/sample - loss: 0.1165\n",
      "Epoch 113/500\n",
      "6/6 [==============================] - 0s 895us/sample - loss: 0.1141\n",
      "Epoch 114/500\n",
      "6/6 [==============================] - 0s 865us/sample - loss: 0.1118\n",
      "Epoch 115/500\n",
      "6/6 [==============================] - 0s 794us/sample - loss: 0.1095\n",
      "Epoch 116/500\n",
      "6/6 [==============================] - 0s 943us/sample - loss: 0.1072\n",
      "Epoch 117/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.1050\n",
      "Epoch 118/500\n",
      "6/6 [==============================] - 0s 968us/sample - loss: 0.1029\n",
      "Epoch 119/500\n",
      "6/6 [==============================] - 0s 615us/sample - loss: 0.1007\n",
      "Epoch 120/500\n",
      "6/6 [==============================] - 0s 609us/sample - loss: 0.0987\n",
      "Epoch 121/500\n",
      "6/6 [==============================] - 0s 559us/sample - loss: 0.0966\n",
      "Epoch 122/500\n",
      "6/6 [==============================] - 0s 638us/sample - loss: 0.0947\n",
      "Epoch 123/500\n",
      "6/6 [==============================] - 0s 661us/sample - loss: 0.0927\n",
      "Epoch 124/500\n",
      "6/6 [==============================] - 0s 649us/sample - loss: 0.0908\n",
      "Epoch 125/500\n",
      "6/6 [==============================] - 0s 537us/sample - loss: 0.0889\n",
      "Epoch 126/500\n",
      "6/6 [==============================] - 0s 726us/sample - loss: 0.0871\n",
      "Epoch 127/500\n",
      "6/6 [==============================] - 0s 881us/sample - loss: 0.0853\n",
      "Epoch 128/500\n",
      "6/6 [==============================] - 0s 639us/sample - loss: 0.0836\n",
      "Epoch 129/500\n",
      "6/6 [==============================] - 0s 936us/sample - loss: 0.0819\n",
      "Epoch 130/500\n",
      "6/6 [==============================] - 0s 495us/sample - loss: 0.0802\n",
      "Epoch 131/500\n",
      "6/6 [==============================] - 0s 748us/sample - loss: 0.0785\n",
      "Epoch 132/500\n",
      "6/6 [==============================] - 0s 720us/sample - loss: 0.0769\n",
      "Epoch 133/500\n",
      "6/6 [==============================] - 0s 765us/sample - loss: 0.0753\n",
      "Epoch 134/500\n",
      "6/6 [==============================] - 0s 584us/sample - loss: 0.0738\n",
      "Epoch 135/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.0723\n",
      "Epoch 136/500\n",
      "6/6 [==============================] - 0s 684us/sample - loss: 0.0708\n",
      "Epoch 137/500\n",
      "6/6 [==============================] - 0s 603us/sample - loss: 0.0693\n",
      "Epoch 138/500\n",
      "6/6 [==============================] - 0s 585us/sample - loss: 0.0679\n",
      "Epoch 139/500\n",
      "6/6 [==============================] - 0s 446us/sample - loss: 0.0665\n",
      "Epoch 140/500\n",
      "6/6 [==============================] - 0s 600us/sample - loss: 0.0652\n",
      "Epoch 141/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.0638\n",
      "Epoch 142/500\n",
      "6/6 [==============================] - 0s 911us/sample - loss: 0.0625\n",
      "Epoch 143/500\n",
      "6/6 [==============================] - 0s 623us/sample - loss: 0.0612\n",
      "Epoch 144/500\n",
      "6/6 [==============================] - 0s 529us/sample - loss: 0.0600\n",
      "Epoch 145/500\n",
      "6/6 [==============================] - 0s 713us/sample - loss: 0.0587\n",
      "Epoch 146/500\n",
      "6/6 [==============================] - 0s 902us/sample - loss: 0.0575\n",
      "Epoch 147/500\n",
      "6/6 [==============================] - 0s 503us/sample - loss: 0.0563\n",
      "Epoch 148/500\n",
      "6/6 [==============================] - 0s 640us/sample - loss: 0.0552\n",
      "Epoch 149/500\n",
      "6/6 [==============================] - 0s 788us/sample - loss: 0.0541\n",
      "Epoch 150/500\n",
      "6/6 [==============================] - 0s 679us/sample - loss: 0.0529\n",
      "Epoch 151/500\n",
      "6/6 [==============================] - 0s 641us/sample - loss: 0.0519\n",
      "Epoch 152/500\n",
      "6/6 [==============================] - 0s 746us/sample - loss: 0.0508\n",
      "Epoch 153/500\n",
      "6/6 [==============================] - 0s 845us/sample - loss: 0.0497\n",
      "Epoch 154/500\n",
      "6/6 [==============================] - 0s 638us/sample - loss: 0.0487\n",
      "Epoch 155/500\n",
      "6/6 [==============================] - 0s 539us/sample - loss: 0.0477\n",
      "Epoch 156/500\n",
      "6/6 [==============================] - 0s 619us/sample - loss: 0.0467\n",
      "Epoch 157/500\n",
      "6/6 [==============================] - 0s 826us/sample - loss: 0.0458\n",
      "Epoch 158/500\n",
      "6/6 [==============================] - 0s 747us/sample - loss: 0.0448\n",
      "Epoch 159/500\n",
      "6/6 [==============================] - 0s 765us/sample - loss: 0.0439\n",
      "Epoch 160/500\n",
      "6/6 [==============================] - 0s 448us/sample - loss: 0.0430\n",
      "Epoch 161/500\n",
      "6/6 [==============================] - 0s 694us/sample - loss: 0.0421\n",
      "Epoch 162/500\n",
      "6/6 [==============================] - 0s 496us/sample - loss: 0.0413\n",
      "Epoch 163/500\n",
      "6/6 [==============================] - 0s 532us/sample - loss: 0.0404\n",
      "Epoch 164/500\n",
      "6/6 [==============================] - 0s 441us/sample - loss: 0.0396\n",
      "Epoch 165/500\n",
      "6/6 [==============================] - 0s 636us/sample - loss: 0.0388\n",
      "Epoch 166/500\n",
      "6/6 [==============================] - 0s 584us/sample - loss: 0.0380\n",
      "Epoch 167/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.0372\n",
      "Epoch 168/500\n",
      "6/6 [==============================] - 0s 693us/sample - loss: 0.0364\n",
      "Epoch 169/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.0357\n",
      "Epoch 170/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.0350\n",
      "Epoch 171/500\n",
      "6/6 [==============================] - 0s 504us/sample - loss: 0.0342\n",
      "Epoch 172/500\n",
      "6/6 [==============================] - 0s 591us/sample - loss: 0.0335\n",
      "Epoch 173/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.0328\n",
      "Epoch 174/500\n",
      "6/6 [==============================] - 0s 584us/sample - loss: 0.0322\n",
      "Epoch 175/500\n",
      "6/6 [==============================] - 0s 770us/sample - loss: 0.0315\n",
      "Epoch 176/500\n",
      "6/6 [==============================] - 0s 510us/sample - loss: 0.0309\n",
      "Epoch 177/500\n",
      "6/6 [==============================] - 0s 628us/sample - loss: 0.0302\n",
      "Epoch 178/500\n",
      "6/6 [==============================] - 0s 916us/sample - loss: 0.0296\n",
      "Epoch 179/500\n",
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      "Epoch 180/500\n",
      "6/6 [==============================] - 0s 670us/sample - loss: 0.0284\n",
      "Epoch 181/500\n",
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      "Epoch 182/500\n",
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      "Epoch 183/500\n",
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      "Epoch 184/500\n",
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      "Epoch 185/500\n",
      "6/6 [==============================] - 0s 655us/sample - loss: 0.0256\n",
      "Epoch 186/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 0.0251\n",
      "Epoch 187/500\n",
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      "Epoch 188/500\n",
      "6/6 [==============================] - 0s 944us/sample - loss: 0.0241\n",
      "Epoch 189/500\n",
      "6/6 [==============================] - 0s 566us/sample - loss: 0.0236\n",
      "Epoch 190/500\n",
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      "Epoch 191/500\n",
      "6/6 [==============================] - 0s 559us/sample - loss: 0.0226\n",
      "Epoch 192/500\n",
      "6/6 [==============================] - 0s 685us/sample - loss: 0.0221\n",
      "Epoch 193/500\n",
      "6/6 [==============================] - 0s 680us/sample - loss: 0.0217\n",
      "Epoch 194/500\n",
      "6/6 [==============================] - 0s 725us/sample - loss: 0.0212\n",
      "Epoch 195/500\n",
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      "Epoch 196/500\n",
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      "6/6 [==============================] - 0s 558us/sample - loss: 2.9540e-04\n",
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      "6/6 [==============================] - 0s 605us/sample - loss: 2.6082e-04\n",
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      "6/6 [==============================] - 0s 681us/sample - loss: 2.5021e-04\n",
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      "6/6 [==============================] - 0s 996us/sample - loss: 2.4507e-04\n",
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      "6/6 [==============================] - 0s 498us/sample - loss: 2.4004e-04\n",
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      "6/6 [==============================] - 0s 770us/sample - loss: 2.3028e-04\n",
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      "6/6 [==============================] - 0s 745us/sample - loss: 2.2092e-04\n",
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      "6/6 [==============================] - 0s 716us/sample - loss: 2.0332e-04\n",
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      "6/6 [==============================] - 0s 703us/sample - loss: 1.9914e-04\n",
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      "6/6 [==============================] - 0s 538us/sample - loss: 1.9505e-04\n",
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      "6/6 [==============================] - 0s 610us/sample - loss: 1.9104e-04\n",
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      "6/6 [==============================] - 0s 699us/sample - loss: 1.8328e-04\n",
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      "6/6 [==============================] - 0s 835us/sample - loss: 1.7951e-04\n",
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      "6/6 [==============================] - 0s 990us/sample - loss: 1.7583e-04\n",
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      "6/6 [==============================] - 0s 615us/sample - loss: 1.7221e-04\n",
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      "6/6 [==============================] - 0s 676us/sample - loss: 1.6182e-04\n",
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      "6/6 [==============================] - 0s 830us/sample - loss: 1.5849e-04\n",
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      "6/6 [==============================] - 0s 580us/sample - loss: 1.5524e-04\n",
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      "6/6 [==============================] - 0s 467us/sample - loss: 1.5205e-04\n",
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      "6/6 [==============================] - 0s 816us/sample - loss: 1.4892e-04\n",
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      "6/6 [==============================] - 0s 483us/sample - loss: 1.4587e-04\n",
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      "6/6 [==============================] - 0s 996us/sample - loss: 1.4287e-04\n",
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      "6/6 [==============================] - 0s 518us/sample - loss: 1.3994e-04\n",
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      "6/6 [==============================] - 0s 463us/sample - loss: 1.3706e-04\n",
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      "6/6 [==============================] - 0s 649us/sample - loss: 1.3425e-04\n",
      "Epoch 439/500\n",
      "6/6 [==============================] - 0s 654us/sample - loss: 1.3149e-04\n",
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      "6/6 [==============================] - 0s 821us/sample - loss: 1.2879e-04\n",
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      "6/6 [==============================] - 0s 557us/sample - loss: 1.2614e-04\n",
      "Epoch 442/500\n",
      "6/6 [==============================] - 0s 574us/sample - loss: 1.2355e-04\n",
      "Epoch 443/500\n",
      "6/6 [==============================] - 0s 739us/sample - loss: 1.2101e-04\n",
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      "6/6 [==============================] - 0s 860us/sample - loss: 1.1853e-04\n",
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      "6/6 [==============================] - 0s 768us/sample - loss: 1.1609e-04\n",
      "Epoch 446/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 1.1371e-04\n",
      "Epoch 447/500\n",
      "6/6 [==============================] - 0s 797us/sample - loss: 1.1137e-04\n",
      "Epoch 448/500\n",
      "6/6 [==============================] - 0s 713us/sample - loss: 1.0909e-04\n",
      "Epoch 449/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 1.0685e-04\n",
      "Epoch 450/500\n",
      "6/6 [==============================] - 0s 900us/sample - loss: 1.0465e-04\n",
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      "6/6 [==============================] - 0s 500us/sample - loss: 1.0250e-04\n",
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      "6/6 [==============================] - 0s 924us/sample - loss: 1.0039e-04\n",
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      "6/6 [==============================] - 0s 667us/sample - loss: 9.8332e-05\n",
      "Epoch 454/500\n",
      "6/6 [==============================] - 0s 754us/sample - loss: 9.6313e-05\n",
      "Epoch 455/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 9.4333e-05\n",
      "Epoch 456/500\n",
      "6/6 [==============================] - 0s 823us/sample - loss: 9.2397e-05\n",
      "Epoch 457/500\n",
      "6/6 [==============================] - 0s 890us/sample - loss: 9.0500e-05\n",
      "Epoch 458/500\n",
      "6/6 [==============================] - 0s 737us/sample - loss: 8.8640e-05\n",
      "Epoch 459/500\n",
      "6/6 [==============================] - 0s 841us/sample - loss: 8.6820e-05\n",
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      "6/6 [==============================] - 0s 663us/sample - loss: 8.5036e-05\n",
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      "6/6 [==============================] - 0s 830us/sample - loss: 8.3288e-05\n",
      "Epoch 462/500\n",
      "6/6 [==============================] - 0s 716us/sample - loss: 8.1579e-05\n",
      "Epoch 463/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 7.9903e-05\n",
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      "6/6 [==============================] - 0s 548us/sample - loss: 7.8262e-05\n",
      "Epoch 465/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 7.6653e-05\n",
      "Epoch 466/500\n",
      "6/6 [==============================] - 0s 853us/sample - loss: 7.5078e-05\n",
      "Epoch 467/500\n",
      "6/6 [==============================] - 0s 707us/sample - loss: 7.3537e-05\n",
      "Epoch 468/500\n",
      "6/6 [==============================] - 0s 621us/sample - loss: 7.2025e-05\n",
      "Epoch 469/500\n",
      "6/6 [==============================] - 0s 966us/sample - loss: 7.0546e-05\n",
      "Epoch 470/500\n",
      "6/6 [==============================] - 0s 598us/sample - loss: 6.9097e-05\n",
      "Epoch 471/500\n",
      "6/6 [==============================] - 0s 730us/sample - loss: 6.7677e-05\n",
      "Epoch 472/500\n",
      "6/6 [==============================] - 0s 823us/sample - loss: 6.6287e-05\n",
      "Epoch 473/500\n",
      "6/6 [==============================] - 0s 685us/sample - loss: 6.4926e-05\n",
      "Epoch 474/500\n",
      "6/6 [==============================] - 0s 481us/sample - loss: 6.3593e-05\n",
      "Epoch 475/500\n",
      "6/6 [==============================] - 0s 580us/sample - loss: 6.2286e-05\n",
      "Epoch 476/500\n",
      "6/6 [==============================] - 0s 939us/sample - loss: 6.1007e-05\n",
      "Epoch 477/500\n",
      "6/6 [==============================] - 0s 614us/sample - loss: 5.9754e-05\n",
      "Epoch 478/500\n",
      "6/6 [==============================] - 0s 439us/sample - loss: 5.8526e-05\n",
      "Epoch 479/500\n",
      "6/6 [==============================] - 0s 575us/sample - loss: 5.7324e-05\n",
      "Epoch 480/500\n",
      "6/6 [==============================] - 0s 884us/sample - loss: 5.6147e-05\n",
      "Epoch 481/500\n",
      "6/6 [==============================] - 0s 924us/sample - loss: 5.4993e-05\n",
      "Epoch 482/500\n",
      "6/6 [==============================] - 0s 638us/sample - loss: 5.3864e-05\n",
      "Epoch 483/500\n",
      "6/6 [==============================] - 0s 825us/sample - loss: 5.2757e-05\n",
      "Epoch 484/500\n",
      "6/6 [==============================] - 0s 472us/sample - loss: 5.1674e-05\n",
      "Epoch 485/500\n",
      "6/6 [==============================] - 0s 490us/sample - loss: 5.0613e-05\n",
      "Epoch 486/500\n",
      "6/6 [==============================] - 0s 653us/sample - loss: 4.9574e-05\n",
      "Epoch 487/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 4.8555e-05\n",
      "Epoch 488/500\n",
      "6/6 [==============================] - 0s 968us/sample - loss: 4.7558e-05\n",
      "Epoch 489/500\n",
      "6/6 [==============================] - 0s 489us/sample - loss: 4.6582e-05\n",
      "Epoch 490/500\n",
      "6/6 [==============================] - 0s 470us/sample - loss: 4.5625e-05\n",
      "Epoch 491/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 4.4687e-05\n",
      "Epoch 492/500\n",
      "6/6 [==============================] - 0s 907us/sample - loss: 4.3769e-05\n",
      "Epoch 493/500\n",
      "6/6 [==============================] - 0s 564us/sample - loss: 4.2870e-05\n",
      "Epoch 494/500\n",
      "6/6 [==============================] - 0s 707us/sample - loss: 4.1990e-05\n",
      "Epoch 495/500\n",
      "6/6 [==============================] - 0s 776us/sample - loss: 4.1127e-05\n",
      "Epoch 496/500\n",
      "6/6 [==============================] - 0s 511us/sample - loss: 4.0283e-05\n",
      "Epoch 497/500\n",
      "6/6 [==============================] - 0s 630us/sample - loss: 3.9455e-05\n",
      "Epoch 498/500\n",
      "6/6 [==============================] - 0s 694us/sample - loss: 3.8645e-05\n",
      "Epoch 499/500\n",
      "6/6 [==============================] - 0s 1ms/sample - loss: 3.7851e-05\n",
      "Epoch 500/500\n",
      "6/6 [==============================] - 0s 954us/sample - loss: 3.7073e-05\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<tensorflow.python.keras.callbacks.History at 0x149a48810>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from tensorflow import keras\n",
    "import numpy as np\n",
    "\n",
    "model=keras.Sequential([keras.layers.Dense(units=1,input_shape=[1])])\n",
    "model.compile(optimizer='sgd',loss='mean_squared_error')\n",
    "\n",
    "xs=np.array([-1.0,0.0,1.0,2.0,3.0,4.0],dtype=float)\n",
    "ys=np.array([-3.0,-1.0,1.0,3.0,5.0,7.0],dtype=float)\n",
    "\n",
    "model.fit(xs,ys,epochs=500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "da6659c9-a2d1-4a33-a2ed-f683a5509928",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[18.982235]], dtype=float32)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.predict([10.0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "da118a3b-1012-47cc-988a-159132b8302a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "ax = plt.axes([0.025,0.025,0.95,0.95], polar=True)\n",
    "\n",
    "N = 20\n",
    "theta = np.arange(0.0, 2*np.pi, 2*np.pi/N)\n",
    "radii = 10*np.random.rand(N)\n",
    "width = np.pi/4*np.random.rand(N)\n",
    "bars = plt.bar(theta, radii, width=width, bottom=0.0)\n",
    "\n",
    "for r,bar in zip(radii, bars):\n",
    "    bar.set_facecolor( plt.cm.jet(r/10.))\n",
    "    bar.set_alpha(0.5)\n",
    "\n",
    "ax.set_xticklabels([])\n",
    "ax.set_yticklabels([])\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a5a7c116-77d9-4169-896a-b5e508defa0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "n = 1024\n",
    "X = np.random.normal(0,1,n)\n",
    "Y = np.random.normal(0,1,n)\n",
    "T = np.arctan2(Y,X)\n",
    "\n",
    "plt.axes([0.025,0.025,0.95,0.95])\n",
    "plt.scatter(X,Y, s=75, c=T, alpha=.5)\n",
    "\n",
    "plt.xlim(-1.5,1.5), plt.xticks([])\n",
    "plt.ylim(-1.5,1.5), plt.yticks([])\n",
    "# savefig('../figures/scatter_ex.png',dpi=48)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e346e99-7a31-44f2-9c64-f61b309973c9",
   "metadata": {},
   "source": [
    "------\n",
    "# 以下进入正题\n",
    "------"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "f3218b27-f57e-4550-a0dd-0a53e006dd08",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(3982, 6)\n",
      "(3875, 5)\n",
      "(3981, 5)\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "S2F = pd.read_csv('BTC-S2F.csv')\n",
    "NVT = pd.read_csv('BTC-NVT.csv')\n",
    "MVRV = pd.read_csv('BTC-MVRV.csv')\n",
    "print(S2F.shape)\n",
    "print(NVT.shape)\n",
    "print(MVRV.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "5d1ca829-ff5d-421e-8888-15493ef81378",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['时间', '币价', 'S2F(月)', 'S2F(年)', '预期价格(月)', '预期价格(年)'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(S2F.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4f7b5436-d991-4997-850a-6b95020f94b8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['时间', '币价', 'NVT', 'NVTS', 'SMA60'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(NVT.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f1e635d3-fd53-4e5a-96f9-da1be53afb4f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['时间', '币价', 'MVRV', '辅助线', 'SMA60'], dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(MVRV.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f824905a-520b-498e-b38b-0b77a38520da",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               时间      币价    S2F(月)    S2F(年)   预期价格(月)   预期价格(年)\n",
      "0  2010/8/16 0:00  0.0655  0.759903  1.025398  0.175523  0.195532\n",
      "1  2010/8/17 0:00  0.0700  0.767184  1.025663  0.180617  0.195698\n",
      "2  2010/8/18 0:00  0.0680  0.774364  1.025790  0.185736  0.195779\n",
      "3  2010/8/19 0:00  0.0667  0.782338  1.026069  0.191533  0.195954\n",
      "4  2010/8/20 0:00  0.0655  0.786949  1.026394  0.194939  0.196159\n"
     ]
    }
   ],
   "source": [
    "print(S2F.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "831190aa-1203-4804-b158-69da26574bc1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               时间      币价       NVT       NVTS  SMA60\n",
      "0  2010/12/1 0:00  0.2275   73.6973  undefined    NaN\n",
      "1  2010/12/2 0:00  0.2550   67.3531  undefined    NaN\n",
      "2  2010/12/3 0:00  0.2511  128.7577  undefined    NaN\n",
      "3  2010/12/4 0:00  0.2050   62.3520  undefined    NaN\n",
      "4  2010/12/5 0:00  0.1900  143.5623  undefined    NaN\n"
     ]
    }
   ],
   "source": [
    "print(NVT.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "19de6ff0-b415-4e0c-b294-177c0cd8bd40",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               时间      币价      MVRV  辅助线  SMA60\n",
      "0  2010/8/16 0:00  0.0655  7.138375    1    NaN\n",
      "1  2010/8/17 0:00  0.0700  7.509859    1    NaN\n",
      "2  2010/8/18 0:00  0.0680  7.147964    1    NaN\n",
      "3  2010/8/19 0:00  0.0667  6.931684    1    NaN\n",
      "4  2010/8/20 0:00  0.0655  6.694129    1    NaN\n"
     ]
    }
   ],
   "source": [
    "print(MVRV.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e4cfc754-68ba-40ec-b8a7-44cd7b3af4cd",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               时间      币价    S2F(月)    S2F(年)   预期价格(月)   预期价格(年)\n",
      "0  2010/8/16 0:00  0.0655  0.759903  1.025398  0.175523  0.195532\n",
      "1  2010/8/17 0:00  0.0700  0.767184  1.025663  0.180617  0.195698\n",
      "2  2010/8/18 0:00  0.0680  0.774364  1.025790  0.185736  0.195779\n"
     ]
    }
   ],
   "source": [
    "print(S2F.head(3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4ace227e-633c-4a5f-b62d-d47b5badced7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  时间           币价     S2F(月)     S2F(年)      预期价格(月)  \\\n",
      "3979   2021/7/8 0:00  32930.19737  70.588537  54.771967  140689.7735   \n",
      "3980   2021/7/9 0:00  33641.50878  70.486683  54.809374  140081.6368   \n",
      "3981  2021/7/10 0:00  33892.21184  69.599441  54.812481  134858.1623   \n",
      "\n",
      "          预期价格(年)  \n",
      "3979  98291.28871  \n",
      "3980  98512.98463  \n",
      "3981  98531.41324  \n"
     ]
    }
   ],
   "source": [
    "print(S2F.tail(3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "863e161b-279c-424e-a4d9-9964b33e2f68",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Done!\n"
     ]
    }
   ],
   "source": [
    "MVRV.to_excel('MVRV.xlsx')\n",
    "print('Done!')"
   ]
  }
 ],
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