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authorGustaf Rydholm <gustaf.rydholm@gmail.com>2021-03-24 22:15:54 +0100
committerGustaf Rydholm <gustaf.rydholm@gmail.com>2021-03-24 22:15:54 +0100
commit8248f173132dfb7e47ec62b08e9235990c8626e3 (patch)
tree2f3ff85602cbc08b7168bf4f0d3924d32a689852 /notebooks/01-look-at-emnist.ipynb
parent74c907a17379688967dc4b3f41a44ba83034f5e0 (diff)
renamed datasets to data, added iam refactor
Diffstat (limited to 'notebooks/01-look-at-emnist.ipynb')
-rw-r--r--notebooks/01-look-at-emnist.ipynb32
1 files changed, 15 insertions, 17 deletions
diff --git a/notebooks/01-look-at-emnist.ipynb b/notebooks/01-look-at-emnist.ipynb
index 1f393db..7d635fd 100644
--- a/notebooks/01-look-at-emnist.ipynb
+++ b/notebooks/01-look-at-emnist.ipynb
@@ -2,18 +2,9 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 1,
"metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The autoreload extension is already loaded. To reload it, use:\n",
- " %reload_ext autoreload\n"
- ]
- }
- ],
+ "outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
@@ -27,12 +18,12 @@
" import sys\n",
" sys.path.append('..')\n",
"\n",
- "from text_recognizer.datasets.emnist import EMNIST"
+ "from text_recognizer.data.emnist import EMNIST"
]
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 2,
"metadata": {},
"outputs": [
{
@@ -44,7 +35,7 @@
"Mapping: ['<b>', '<s>', '</s>', '<p>', '0', '1', '2', '3', '4', '5', '6', '7', '8', '9', 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z', 'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z', ' ', '!', '\"', '#', '&', \"'\", '(', ')', '*', '+', ',', '-', '.', '/', ':', ';', '?']\n",
"Dims: (1, 28, 28)\n",
"Train/val/test sizes: 260276, 65070, 54028\n",
- "Batch x stats: (torch.Size([128, 1, 28, 28]), torch.float32, tensor(0.), tensor(0.1715), tensor(0.3314), tensor(1.))\n",
+ "Batch x stats: (torch.Size([128, 1, 28, 28]), torch.float32, tensor(0.), tensor(0.1673), tensor(0.3277), tensor(1.))\n",
"Batch y stats: (torch.Size([128]), torch.int64, tensor(4), tensor(65))\n",
"\n"
]
@@ -59,7 +50,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 3,
"metadata": {},
"outputs": [
{
@@ -79,12 +70,12 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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\n",
+ "image/png": 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AAHJjQgEAAHLjLI8G2b59u8sWLlzosjFjxrgsWkIWqLfBgwe77LjjjnPZXnvt5bL169e77KWXXgq3E3Xn1+tsLDSGmbksqqPRo0eH9+/Tp4/LoqXdH3roIZdxGYOu4wgFAADIjQkFAADIjQkFAADIjQkFAADIjabMBomaMp966imXnXnmmS47/fTTXfb888+H26HBCNXQu3dvl5122mkuO/bYY122yy7+/y19+/Z12VlnnRVue86cOS6LlkyOmjdRTnvuuafLvva1r7lsypQpmR/zf/7nf1z28ssvd2pceHccoQAAALkxoQAAALkxoQAAALkxoQAAALl12JRpZiMl/VjSMElJ0vSU0nVmNljSbZJGS2qR9LGU0traDbV7ilaMGzhwYKbboQ01nN+IESNcdvHFF7tsyJAhmR4vahZuaWkJb7thwwaXdceVMrtTHUevcZMmTXJZe/W2atUql912220uW7NmTecHh3ZlOUKxVdLnU0qHSjpS0sVmdqikyyXdn1I6SNL9le+BIqKG0QyoYxRahxOKlFJrSumJytfrJS2WNELSZEkzKzebKWlKjcYI5EINoxlQxyi6Tq1DYWajJU2Q9JikYSml1sqPXlHbYbjoPlMlTc0xRqBqqGE0g87WMTWMesjclGlm/STdIenSlNLrO/4stb2hGb6pmVKanlKamFKamGukQE7UMJpBV+qYGkY9ZDpCYWa91FbAt6SUZlXiFWY2PKXUambDJa2s1SCb0R577OGyrJcl/8hHPuKyH/3oR+Ft22t0626o4eyilS3f+973umzUqFEui5qDN23a5LJZs2a57Oqrrw7H8+qrr7qsOzZlSt27jqO6bK8OombLBQsWuIzVVaurwyMU1vYKcZOkxSmla3f40RxJF1S+vkDSndUfHpAfNYxmQB2j6LIcoThG0vmSnjKz+ZXsS5K+KelnZnahpKWSPlaTEQL5UcNoBtQxCq3DCUVK6XeS2lvk4MTqDgeoPmoYzYA6RtGxUiYAAMiNy5fXQc+e/mn+zGc+47LPfvazme7bv3//TLcDuiK6VPnRRx/tskGDBrksapL705/+5LJrrrnGZS+88EI4nu7agIl3ilZXjVZRlaRHH33UZayKWXscoQAAALkxoQAAALkxoQAAALkxoQAAALnRyVcH27dvd9nixYtd1rdvX5dxWXLU2+DBg102YcIEl0XNks8//7zLvv3tb7ssatSk+RJvixoob7jhBpf16tUrvP/s2bNdFq24iuriCAUAAMiNCQUAAMiNCQUAAMiNCQUAAMiNpsw6iJoyf/WrX7nsW9/6lssuu+wyl3HJXdTS6tWrXfbDH/7QZS+++KLLorr+zW9+47LokubA26KmzH/7t3/LfP9oVU3UHkcoAABAbkwoAABAbkwoAABAbkwoAABAbh1OKMxspJk9YGaLzGyhmX2ukl9pZsvNbH7l4/TaDxfoPGoYZUcNowyynOWxVdLnU0pPmFl/SY+b2b2Vn/1LSuma2g2veUXLDM+cOdNlI0eOdFm0vHHUFY3/ixruhOgMjFmzZrnsnnvucdn69etdxllJVdHta5gzN4qvwwlFSqlVUmvl6/VmtljSiFoPDKgWahhlRw2jDDrVQ2FmoyVNkPRYJZpmZgvM7GYzG1TtwQHVRg2j7KhhFFXmCYWZ9ZN0h6RLU0qvS7pB0gGSxqtt5vzddu431czmmdm8/MMFuo4aRtlRwyiyTBMKM+ultiK+JaU0S5JSSitSSttSStsl3SjpiOi+KaXpKaWJKaWJ1Ro00FnUMMqOGkbRddhDYWYm6SZJi1NK1+6QD6+8rydJZ0l6ujZD7D5aWlpcNnXqVJdFS3mjfdRwfps3b86UoTaoYZRBlrM8jpF0vqSnzGx+JfuSpPPMbLykJKlF0kU1GB9QDdQwyo4aRuFZdPpizTZmVr+NNYlddvHvSnXjIxSPN/qQLTWMnKhhlF27NcxKmQAAIDcmFAAAILcsPRRooG789gYAoEQ4QgEAAHJjQgEAAHJjQgEAAHJjQgEAAHKrd1PmaklLK1/vVfm+GbAv9TGq0QMQNVwWRd0farh2mmlfpOLuT7s1XNeFrd6xYbN5jV7gpVrYl+6pmZ6rZtoXqfn2p1aa6Xlqpn2Ryrk/vOUBAAByY0IBAABya+SEYnoDt11t7Ev31EzPVTPti9R8+1MrzfQ8NdO+SCXcn4b1UAAAgObBWx4AACA3JhQAACC3uk8ozOxUM3vGzJaY2eX13n5eZnazma00s6d3yAab2b1m9lzl86BGjjErMxtpZg+Y2SIzW2hmn6vkpdyfeqGGi4Ma7roy1zE1XEx1nVCYWQ9J10s6TdKhks4zs0PrOYYqmCHp1J2yyyXdn1I6SNL9le/LYKukz6eUDpV0pKSLK7+Psu5PzVHDhUMNd0ET1PEMUcOFU+8jFEdIWpJSeiGltFnSrZIm13kMuaSU5kpas1M8WdLMytczJU2p55i6KqXUmlJ6ovL1ekmLJY1QSfenTqjhAqGGu6zUdUwNF1O9JxQjJL28w/fLKlnZDUsptVa+fkXSsEYOpivMbLSkCZIeUxPsTw1RwwVFDXdKM9Zx6X/nZa9hmjKrLLWdh1uqc3HNrJ+kOyRdmlJ6fceflXF/kE8Zf+fUMHZUxt95M9RwvScUyyWN3OH7fStZ2a0ws+GSVPm8ssHjyczMeqmtiG9JKc2qxKXdnzqghguGGu6SZqzj0v7Om6WG6z2h+KOkg8xsjJntKulcSXPqPIZamCPpgsrXF0i6s4FjyczMTNJNkhanlK7d4Uel3J86oYYLhBrusmas41L+zpuqhlNKdf2QdLqkZyU9L+nL9d5+Fcb/U0mtkrao7X3HCyXtqbYu3Ock3SdpcBce91y1NeNsqDw3k+qwL8eq7TDaAknzKx+nV2N/mvmDGi7OBzWc67krbR1Tw8X8YOntAjCzkyX9UNLHJf1B0nBJSimV/RAkAKCboCmzGP5Z0tdSSv+dUtqeUlrOZAJlYmb7mNkdZrbKzF40s/+v0WMCOsPM3mdm/2Nm683s52Z2m5ld1ehxlQkTigarLDAzUdKQyop1y8zs+2a2W6PHBmRhZrtI+qWkJ9V26uGJki41s1MaOjAgo0ofyWy1LZg1WG1vqZzVyDGVEROKxhsmqZek/yVpkqTxajsP+Z8aOCagMz4gaUhK6Wsppc0ppRck3ai2viCgDI6U1FPS/0kpbUltZ1r8ocFjKh0mFI33VuXz91LbimmrJV2rtqYcoAxGSdrHzNa9/SHpSyrBQjxAxT6Slqd3NhW+3N6NEevZ6AF0dymltWa2TO9ctIROWZTJy5JeTG3XHADKqFXSCDOzHSYVI9V2Bgwy4ghFMfxI0iVmNrRyRbm/l/SrBo8JyOoPktab2RfNbDcz62FmY83sA40eGJDR7yVtkzTNzHqa2WS1Xe8EncCEohi+rraFZp5V21oU/yPp6oaOCMgopbRN0hlq6/95UdJqtZ0GPaCBwwIyS20XSDtbbetZrJP0SbX9p25TA4dVOqxDAQDATszsMUn/llL6UaPHUhYcoQAAdHtmdryZ7V15y+MCSeMk3dPocZUJTZkAAEgHS/qZpN0lvSDpf6X/d/lwZMBbHgAAILdcb3mY2alm9kxlhcfLqzUooJ6oY5QdNYwi6PIRisqS0c9KOlltV3v7o6TzUkqL3uU+HA5BHqtTSkOq+YCdrWNqGDlRwyi7dms4zxGKIyQtSSm9UDnl5lZJk3M8HtCRpTV4TOoY9UQNo+zareE8E4oReufSpMsqGVAm1DHKjhpGIdT8LA8zmyppaq23A9QKNYyyo4ZRD3kmFMvVttb52/atZO+QUpouabrEe3copA7rmBpGwVHDKIQ8E4o/SjrIzMaorXjPlfSJqowKqB/qGGVHDddYz57+n0ozc9nuu+8e3n/Dhg0u27JlS/6BFUyXJxQppa1mNk3SbyT1kHRzSmlh1UYG1AF1jLKjhlEUdV3YikNtyOnxlNLERg6AGkZO1HAJcYTiHdqtYa7lAQAAcmNCAQAAcuPiYE1u8ODBLuvfv7/L1q9f77I1a9bUZEwAUAR9+vRx2T777OOyyZP9OmEDBgxw2X777RduZ+lSvxbUzJkzXdbS0hLevyw4QgEAAHJjQgEAAHJjQgEAAHJjQgEAAHKjKbNJ9O3bN8wvuugil33wgx902Zw5c1x2ww03uGzbtm1dGB0AVF+PHj3CfOTIkS47/vjjXXbppZe6bMyYMS6LmiXvvPNOly1f7q4+IUm65JJLXLZ9+3aXfeMb33DZ1q1bw8csIo5QAACA3JhQAACA3JhQAACA3JhQAACA3JhQAACA3DjLo4Siq9xFy8VK0gc+8AGXHXzwwS4bOHBgpu0A72aXXfz/UaIsqq1oKeP2rF271mWcgdTcdtttN5d94QtfCG87depUl61cudJlP/nJT1z2wAMPuGzRokUui2o4OmtEii93EP1dlF3z7REAAKg7JhQAACA3JhQAACC3XD0UZtYiab2kbZK2ppQmVmNQQD1Rxyg7ahhFUI2mzA+mlFZX4XEQiJbUjhowr7jiivD+p5xyisuiJV83bNjQhdE1Fer4XfTs6V8qBg8e7LJjjjnGZWPHjs30eIcccki47ZSSy37+85+7bN68eS6LlkLesmVLuJ0m0DQ1HC2pHTU8/s3f/E14/xUrVrjs05/+tMsWLlzosqxLXY8ePdplZ599dnjbXr16uez111/PtJ0y4S0PAACQW94JRZL0WzN73Mz8eTqSzGyqmc0zM//fB6AY3rWOqWGUADWMhsv7lsexKaXlZjZU0r1m9qeU0twdb5BSmi5puiSZmT92CTTeu9YxNYwSoIbRcLmOUKSUllc+r5Q0W9IR1RgUUE/UMcqOGkYRdPkIhZntLmmXlNL6ytcflvS1qo2syUWrrI0aNcplF1xwgcvGjx/vspNOOincTtT4s2TJEpfde++9LsvanFRm3aWOo3rbc889w9vut99+LvvgBz/osqOOOsplxx57rMsGDRqUaTztrRwYNWWecMIJLosa7P7+7//eZQsWLMi0jbIoew1Hv/fTTz/dZV/84hdddvHFF4ePOXv2bJe9+eabXRhdm6heoxqMXsOleJXOW265xWVlf83N85bHMEmzK090T0n/mVK6pyqjAuqHOkbZUcMohC5PKFJKL0h6bxXHAtQddYyyo4ZRFJw2CgAAcmNCAQAAcuPy5Q0SXYo3WmVwypQpLhs+fHjm7fz3f/+3y6IVBV955ZXMj4ni6N27t8ui+thrr71c1l5D26RJkzI9ZrTtel2SeciQIS6LmkSj1RX/8R//0WWrVzfFApOlFNXM+973Ppf913/9l8tuvfXW8DGzXso+WpEzalb+7Gc/67KojqLXdUm69tprXRY1apYdRygAAEBuTCgAAEBuTCgAAEBuTCgAAEBuNGVWWZ8+fVy29957uyxaAfNTn/qUy6KV16LLL99+++3heP75n//ZZX/+859dlmcVOdRHdMnvU0891WVf+tKXXBY1MbbX3Bs1W2YVrfS3du1al0UruEaXQ5filTYj0biPOMKvQD1w4ECX0ZRZLFF9HH744S77yle+Et4/68qnhx12mMui5t5XX33VZTfffLPLzj333HA769evzzSesuMIBQAAyI0JBQAAyI0JBQAAyI0JBQAAyI2mzC5qb0W0s88+22VR41y0Ambfvn1dtmHDBpdFlx+/5pprwvE8//zzLivzpZq7i6jBMKqjadOmuSxaZTBaEbAzNm7c6LJnn33WZffee6/LotVaoybgqJlUko4++miXRZeTjlZHjC5p/tprr4XbQWNEjbzR5cePPPJIl51zzjm5tr1o0SKX/fCHP8w0nmjcH/7wh3ONp+w4QgEAAHJjQgEAAHJjQgEAAHJjQgEAAHLrsCnTzG6WdIaklSmlsZVssKTbJI2W1CLpYyklvxxek4ga5KKmSkm68sorXbbPPvu4LGrqjC5ne+ONN7osuvz4n/70p3A8NGC2KXIdRw2G73nPe1x2xRVXuCxaPTBqwIy20V5trFmzxmVRo1p06egXXnjBZf3793fZZz7zGZeNHz8+HE809ki0muFtt93msmj/yqDINVxtLS0tLjvvvPNcFl36vDO2b9+eKYsceOCBubbdjLL8NmZI2rm9/HJJ96eUDpJ0f+V7oMhmiDpGuc0QNYwC63BCkVKaK2nnKf1kSTMrX8+UNKW6wwKqizpG2VHDKLqurkMxLKXUWvn6FUnD2ruhmU2VNLWL2wFqKVMdU8MoMGoYhZF7YauUUjKzdt+oTylNlzRdkt7tdkAjvVsdU8MoA2oYjdbVjpYVZjZckiqffTchUHzUMcqOGkZhdPUIxRxJF0j6ZuXznVUbUYNFHfIDBgxwWXtLrEZndPTp08dlmzZtctlzzz3nsnvuucdl0dLbmzdvDseDd1WIOh41apTLLrvsMpcdcsghLst6RkdeUTd9dFbG5MmTXTZu3DiXTZo0yWW777575vG89dZbLrv77rtd9vDDD7ssWqK7xApRw/WQ54yMWjjmmGNcFv1bIUkLFiyo9XAKocMjFGb2U0m/l3SwmS0zswvVVrwnm9lzkk6qfA8UFnWMsqOGUXQdHqFIKfmTf9ucWOWxADVDHaPsqGEUHStlAgCA3JhQAACA3HKfNlpmUfPamDFjXBY135x22mnhY0ZLakcNmLfffrvLrrnmGpctWrTIZVu2bAm3jeKIamvo0KHhbS+88EKXRUu7R0vAR/Iutz548GCXTZs2zWUbN250WdRYGTWORk2e7Y171apVLosaMK+66qpM9wU6q2dP/0/lxRdf7LKBAweG91+4cGG1h1RIHKEAAAC5MaEAAAC5MaEAAAC5MaEAAAC5deumzCFDhrjsy1/+ssuipszovlLcqPb888+77LrrrnPZ4sWLXRY1qkUNQp1RtBXnmtGee+7psq9//evhbaMGzKyrRka/tzVrdr4gZWzQoEFhHjVRRqu9RlnW2ooalZ999tlwPP/6r//qsqgpM2rAzNugCkhSr169XBb9jS9btiy8/8svv1z1MRURRygAAEBuTCgAAEBuTCgAAEBuTCgAAEBu3aYpM1q5cPjw4S6LLskc3a69S0RHzWarV692WbTq4X777Rc+Zh5bt2512YYNG1y2bt06l0WXeaZ5M5vod/mhD30ovO1ee+2V6TGj5/6BBx5w2Y033uiyqDnxox/9aLidww8/3GXRypbReKIVAaMsqrf7778/HM8zzzzjsujvDKiVkSNHumzvvfd22Q033BDe/6233qr6mIqIIxQAACA3JhQAACA3JhQAACA3JhQAACC3DpsyzexmSWdIWplSGlvJrpT0t5LeXpruSymlu2o1yM6KVvAbMWKEyy677DKXvec973FZ1EDZXlNmtMLhuHHjXPajH/3IZbVY1e/111932dKlS1321FNPueyJJ57IdLuWlpauDa6OalnH0cqSxx13nMuGDRvW2Yd+h2gFzKgBc9asWS6LauvBBx8MtzNgwIDOD67itddec1nUgBmNJ2ogroXob7cMK2qW8bW4WZx33nkui5qSly9fXo/hFFaWIxQzJJ0a5P+SUhpf+aCAUXQzRB2j3GaIGkaBdTihSCnNlZTt4gBAQVHHKDtqGEWXp4dimpktMLObzSy+ypAkM5tqZvPMbF6ObQG10mEdU8MoOGoYhdDVCcUNkg6QNF5Sq6TvtnfDlNL0lNLElNLELm4LqJVMdUwNo8CoYRRGl1bKTCmtePtrM7tR0q+qNqJOilbwO/nkk1121llnuezss892WdSAGWmviStq+Nptt91cFq2OGF0id+XKlS7rTPNatGJj1Hh6xhlnuOzJJ5902a233uqy733vey6rV4NdHtWq46gWosbXN998M7x/1kuVR7JeLjzKost9v1tedNHf7oEHHuiy6O9xwYIFLmuvhou0WmyRXoubRc+e/p/FM88802XR38lDDz1UkzGVRZeOUJjZjmtRnyXp6eoMB6gf6hhlRw2jSLKcNvpTSSdI2svMlkm6QtIJZjZeUpLUIumi2g0RyI86RtlRwyi6DicUKSV/Aq50Uw3GAtQMdYyyo4ZRdKyUCQAAciv95cujpsyoEWvs2LEui1bUjERNWNGlvSVp7dq1LosaK1tbW102aJA/42vu3Lkuiy4/3p5ov6Pn5+CDD3bZHnvs4bJ+/fpl3nZ3EdXHokWLXBatGClJQ4YMybSdaAXLQw45xGVZLzXeSNEYo0yKm5WHDx/uskmTJrnskksucVnUTPfYY4+57PHHHw/Hc++997ps48aN4W1RPlEje/R3dvfdd7vs5ZdfrsmYyoIjFAAAIDcmFAAAIDcmFAAAIDcmFAAAIDcmFAAAILfSn+URic5OiDrko2WyW1paXPb0037xufY6wKMlfJ9//nmXrV692mW77rqry1asWOGyzixrvc8++7hs/PjxLvv+97/vss504uOdNm3a5LLXX3898/2j2oye+2gJ9+iskaje2ls+PhKdaTFs2DCXRcsW9+jRw2WHHnqoy6IzkqT4b/eEE05wWdSdv+eee7os2u8PfehDLouWT5ekz3/+8y779a9/7bKinVnTjKLfuSSNGTPGZdGy2NGZfueff77LotfmW265xWWvvvpqOJ7ugn8dAABAbkwoAABAbkwoAABAbkwoAABAbk3ZlJlVtHz2fffd57Kf/vSnLnvkkUfCx4waJuvRnBU1w0nShAkTXDZ58mSXRc19L730Uv6BdVNRM+2DDz4Y3va9732vy7I2N553nr9e1L777uuyqLG4M3XZv39/lx1//PEuixqiIwMHDsyUSXGDanv1nkX0eFG2++67h/ePGgGj+6P2zj777DD/6Ec/6rITTzzRZVHT+plnnumyqJE3Wl6/uzficoQCAADkxoQCAADkxoQCAADk1uGEwsxGmtkDZrbIzBaa2ecq+WAzu9fMnqt89tfeBgqAGkYzoI5RdFk6m7ZK+nxK6Qkz6y/pcTO7V9L/lnR/SumbZna5pMslfbF2Q80uaoyJsmjlwb/8y7902Z///GeX/fGPf8y87TyrS0YrFEYNcscdd1x4/4suushlWZsA161b57LOrPZYIHWv4WilzLlz54a3jZpkDzjgAJdFjX9RM230eFGjWV55GiPzyrpabNRMF9V1tCrm9ddfHz5mtCpm1OBdA6V7La61qAFZiv8uor+fqKnzkEMOcdmWLVtcFv2Nd3cd/kuXUmpNKT1R+Xq9pMWSRkiaLGlm5WYzJU2p0RiBXKhhNAPqGEXXqf86m9loSRMkPSZpWEqptfKjVyT5hf2BgqGG0QyoYxRR5mOWZtZP0h2SLk0pvb7j4aOUUjKz8EpDZjZV0tS8AwXyoobRDLpSx9Qw6iHTEQoz66W2Ar4lpTSrEq8ws+GVnw+XtDK6b0ppekppYkppYjUGDHQFNYxm0NU6poZRDx0eobC26e9NkhanlK7d4UdzJF0g6ZuVz3fWZIRd8MYbb2TKItElmaPLfb/nPe8J7x81fOURXbo5ujTvxz/+8fD+48aNc1m/fv1cFl1298knn3TZkiVLXFb01eEaUcPRc3LvvfeGt73iiitc9oUvfMFlf/EXf+GyqGk3q/ZWd4zyaH+yNkZGDW3RSqLR7aS4ETi6FPX69etdFo07WjU0qvXly5eH42lUM14ZX4urKWpub+/y5dHv/bDDDnPZZZdd5rLddtvNZU888YTLli1bFm67O8vylscxks6X9JSZza9kX1Jb8f7MzC6UtFTSx2oyQiA/ahjNgDpGoXU4oUgp/U5SewvV+8XRgYKhhtEMqGMUHStlAgCA3JhQAACA3Ep/+fKoMez+++93WbS65MEHH+yyaIW1U045xWVRs6PUfmNZV0VNd9FllQcNilfbjS5B/uijj7rsJz/5icsefvhhl7322msuK3pTZlFs3LgxzGfNmuWyhQsXuiy6/HLWy4VHDW2jRo0Kb9u3b1+XRStJZm10jpoqo1VDo9qS4r/xzjR17izrSrooluh3FP2dSNJpp53msrvuustlUQNmtOrpN7/5TZdlbUruTjhCAQAAcmNCAQAAcmNCAQAAcmNCAQAAcit9U2bkmWeecdmPf/zjTPeNLme79957u2zEiBHh/dtbfbCrokazqBlu/vz54f2vu+46lz322GMue/HFF11Wp0syd3vRyosLFixw2aJFi7q8jaguo+ZeKb4seVRzeZrSaGhDLfXu3dtlUbNx1LQeNeZHK2XC4wgFAADIjQkFAADIjQkFAADIjQkFAADIrSmbMqMmt5aWFpd9+9vfdtkvfvELlx1wwAEuGzt2bLjtaEXCPKJVBqN9iS6/LMWXYN68ebPLUkqdHxzqqtqNjOvWravq4wH11l6zZNRsGb2ODx061GU/+9nPXBatFAuPIxQAACA3JhQAACA3JhQAACA3JhQAACC3DicUZjbSzB4ws0VmttDMPlfJrzSz5WY2v/Jxeu2HC3QeNYyyo4ZRBtZRd7+ZDZc0PKX0hJn1l/S4pCmSPibpjZTSNZk3Zlb4Uwn69Onjsv79+7tswIAB9RhO2Nm/YcMGl61duzbz/Uvs8ZTSxM7eqbvVMAqNGq6iHj16hPlHPvIRl33jG99w2VVXXeWy6Ey/t956q/ODa17t1nCHp42mlFoltVa+Xm9miyXFF7IACogaRtlRwyiDTvVQmNloSRMkvX11qWlmtsDMbjazQe3cZ6qZzTOzefmGCuRHDaPsqGEUVeYJhZn1k3SHpEtTSq9LukHSAZLGq23m/N3ofiml6SmliV05zAdUEzWMsqOGUWSZJhRm1kttRXxLSmmWJKWUVqSUtqWUtku6UdIRtRsmkA81jLKjhlF0HfZQmJlJuknS4pTStTvkwyvv60nSWZKers0Q62vjxo2ZslWrVtVjOKiC7lbDaD7UcGzbtm1h/pvf/MZlixYtctnLL7/ssujSDcgmy7U8jpF0vqSnzGx+JfuSpPPMbLykJKlF0kU1GB9QDdQwyo4aRuFlOcvjd5Is+NFd1R8OUH3UMMqOGkYZsFImAADIjQkFAADILUsPBQAApRE1Vi5ZsqQBI+leOEIBAAByY0IBAAByY0IBAAByY0IBAAByq3dT5mpJSytf71X5vhmwL/UxqtEDEDVcFkXdH2q4dpppX6Ti7k+7NWwppXoO5P9t2Gxes1yohn3pnprpuWqmfZGab39qpZmep2baF6mc+8NbHgAAIDcmFAAAILdGTiimN3Db1ca+dE/N9Fw1075Izbc/tdJMz1Mz7YtUwv1pWA8FAABoHrzlAQAAcmNCAQAAcqv7hMLMTjWzZ8xsiZldXu/t52VmN5vZSjN7eodssJnda2bPVT4PauQYszKzkWb2gJktMrOFZva5Sl7K/akXarg4qOGuK3MdU8PFVNcJhZn1kHS9pNMkHSrpPDM7tJ5jqIIZkk7dKbtc0v0ppYMk3V/5vgy2Svp8SulQSUdKurjy+yjr/tQcNVw41HAXNEEdzxA1XDj1PkJxhKQlKaUXUkqbJd0qaXKdx5BLSmmupDU7xZMlzax8PVPSlHqOqatSSq0ppScqX6+XtFjSCJV0f+qEGi4QarjLSl3H1HAx1XtCMULSyzt8v6ySld2wlFJr5etXJA1r5GC6wsxGS5og6TE1wf7UEDVcUNRwpzRjHZf+d172GqYps8pS23m4pToX18z6SbpD0qUppdd3/FkZ9wf5lPF3Tg1jR2X8nTdDDdd7QrFc0sgdvt+3kpXdCjMbLkmVzysbPJ7MzKyX2or4lpTSrEpc2v2pA2q4YKjhLmnGOi7t77xZarjeE4o/SjrIzMaY2a6SzpU0p85jqIU5ki6ofH2BpDsbOJbMzMwk3SRpcUrp2h1+VMr9qRNq+F2YWYuZnVS1UXW8PWq4a5qxjkv5O2+qGk4p1fVD0umSnpX0vKQv13v7VRj/TyW1StqitvcdL5S0p9q6cJ+TdJ+kwZ14vBZJb0l6Q9JaSb+WNLJO+3Ks2g6jLZA0v/Jxep796Q4f1PC7PnaLpJPquC/UcNefu9LWca1qWG0Tq8WSNlSel0l12JemqWGW3m4wM2uR9DcppfvMrI+kH6itcKY0dGBAF+xYz40eC9AZZnaypB9K+rikP0gaLkkppbK/FVQ3NGUWSEppo6Tb1XZeOACgfv5Z0tdSSv+dUtqeUlrOZKJzmFAUiJn1Vdvs+L8bPRYA6C4qC31NlDSksnLoMjP7vpnt1uixlQkTimL4hZmtk/SapJMlfaexwwGAbmWYpF6S/pekSZLGq209iH9q4JhKhwlFMUxJKQ2U1EfSNEkPmdnejR0SAHQbb1U+fy+1rVy5WtK1amuOREZMKAokpbQttZ2DvE1tnb8AgBpLKa1V29kiO56lwBkLncSEokCszWRJg9R26hIAoD5+JOkSMxtaubLn30v6VYPHVCo9Gz0ASJJ+aWbb1DYjXirpgpTSwgaPCQC6k69L2ktta3NslPQzSVc3dEQlwzoUAAAgN97yAAAAuTGhAAAAuTGhAAAAueWaUJjZqWb2TGVlscurNSignqhjlB01jCLoclNmZanSZ9W2suMytV0O97yU0qJ3uQ8doMhjdUppSDUfsLN1TA0jJ2oYZdduDec5QnGEpCUppRdSSpsl3Sppco7HAzqytAaPSR2jnqhhlF27NZxnQjFC0ss7fL+skr2DmU01s3lmNi/HtoBa6bCOqWEUHDWMQqj5wlYppemSpkscakM5UcMoO2oY9ZDnCMVySSN3+H7fSgaUCXWMsqOGUQh5JhR/lHSQmY0xs10lnStpTnWGBdQNdYyyo4ZrzMzcB7wuv+WRUtpqZtMk/UZSD0k3c/0JlA11jLKjhlEUdb2WB+/dIafHU0oTGzkAahg5UcMlFB2R6MbXwWq3hlkpEwAA5MaEAgAA5Fbz00YBYGe9evVyWd++fcPbbtq0yWUbN26s+pgASRo6dKjLDjnkEJc99dRTLluzZk1NxlQWHKEAAAC5MaEAAAC5MaEAAAC5MaEAAAC50ZQJoO722GMPlx1++OHhbVetWuWyZ5991mVbtmzJPzB0K6NHj3bZd77zHZe95z3vcdlXv/pVl915553hdrZv3975wZUQRygAAEBuTCgAAEBuTCgAAEBuTCgAAEBuTCgAAEBunOVRILvs4ud3vXv3dtmwYcNctmHDhvAx161b57LoKnlRF3J36UxGbfXo0cNlH/zgB112xRVXhPePzvL467/+a5ctW7bMZVu3bs0yRHQD0XLvF1xwgcvOOeccl0U1CI8jFAAAIDcmFAAAIDcmFAAAILdcPRRm1iJpvaRtkramlCZWY1BAPVHHKDtqGEVQjabMD6aUVlfhcZpCz57+KR00aFCm7LDDDnPZ0Ucf7bLjjz/eZS+99FI4noULF7osalR7+umnXfbkk0+67M9//rPLNm7cGG67ZKjjKoiaiEeMGOGyT33qUy474IADwsdkSe3MqOEKM3PZqFGjXPa+970v0+OtXbvWZdFra3dvZOctDwAAkFveCUWS9Fsze9zMpkY3MLOpZjbPzObl3BZQK+9ax9QwSoAaRsPlfcvj2JTScjMbKuleM/tTSmnujjdIKU2XNF2SzMwvgAA03rvWMTWMEqCG0XC5jlCklJZXPq+UNFvSEdUYFFBP1DHKjhpGEXT5CIWZ7S5pl5TS+srXH5b0taqNrECyNvhI8SprRx11lMuiBsyBAwdmyqIVNQ8//PBwPKeddlqY72z9+vUui1YenDNnjst+/OMfu2zp0qXhdqJVOhupO9VxPfTv399lY8eOdVlUr2+++Wb4mFEtRSvDdteGOGrYGzJkiMu+/OUvu+zkk0922bZt21y2YMECl0WNmt1dnrc8hkmaXfnHtqek/0wp3VOVUQH1Qx2j7KhhFEKXJxQppRckvbeKYwHqjjpG2VHDKApOGwUAALkxoQAAALlx+fIM9txzT5d99atfDW979tlnu+ytt95yWXRZ8UcffdRlUbNkdCndN954IxxPJGqcO+GEE1w2cuRIl/3jP/6jyw466CCXfeUrXwm33dLS0vEAUVpRE/GECRNctt9++7nshRdeCB8zaoiL/n66a1Nmd9anT58wj5rRoyy6/8qVK1122223uWzNmjVZhtitcIQCAADkxoQCAADkxoQCAADkxoQCAADkRlNmBvvuu6/LjjzyyPC2f/jDH1w2ffp0l0WXC48uKx6tCBg1pHXmEs+9evVy2fDhw1124oknuuzqq6922ZQpU1z23HPPhdv+9re/7bImufw5JPXo0cNlPXtme5lpr7E4akwu2oqrqL1oheD2VgL+1re+5bKhQ4dm2s5//Md/uOyuu+5yWbSiZl7R309U60VtQOYIBQAAyI0JBQAAyI0JBQAAyI0JBQAAyI2mzJ1ETTFjxoxx2c9//vPw/g8++KDLHnvsMZdFq0v+3d/9nctaW1tdFjV5Rqtxtidq/owuER2tUBg1zkUriUYrb0rSTTfd5LLly5eHt0WxRX8r48aNc1l0+fLNmze7bM6cOeF2fvvb37osqmE0t6gpc//99w9vu8cee2R6zKixMlqxeNOmTZkerz3ReKJLrJ9xxhkumz9/vssefvhhlxWhUZMjFAAAIDcmFAAAIDcmFAAAIDcmFAAAILcOmzLN7GZJZ0hamVIaW8kGS7pN0mhJLZI+llJaW7th1k/UpHPfffe57O677858/0MPPdRl3//+9132/ve/32Uvvviiy26//XaXrV0bP/29e/d22T777OOy973vfS775Cc/6bJoRc0333zTZVFzqiS9+uqrYV5r3a2Oqy2qoxEjRrjs/PPPd9nRRx/tsldeecVl7TVltrfqanfT3Ws462uZlH111qgZ/ZFHHnFZ1PAYrTg8cuTIcDsnnXSSy6IGzEmTJrns2muv7fIY6y3LEYoZkk7dKbtc0v0ppYMk3V/5HiiyGaKOUW4zRA2jwDqcUKSU5kpas1M8WdLMytczJU2p7rCA6qKOUXbUMIquq+tQDEspvb1AwiuShrV3QzObKmlqF7cD1FKmOqaGUWDUMAoj98JWKaVkZu1e+i+lNF3SdEl6t9sBjfRudUwNowyoYTRaV8/yWGFmwyWp8nll9YYE1A11jLKjhlEYXT1CMUfSBZK+Wfl8Z9VGVEDr1693Wd++fcPbnnLKKS779Kc/7bKJEye6LOpi3m233VwWLQU+YMCAcDxRJ/GZZ57psqg7OdrHaJnsuXPnuuzHP/5xOJ6NGzeGeYN0qzrOo3///i6LltQ+/PDDM933pZdecll7Zypt2bIlyxC7q25Tw1OmTMmUSfFZHtFy7bNnz3bZqlWrXGZmLovO3ovOyJDipbfHjx/vspT8waNoyfGi6nCkZvZTSb+XdLCZLTOzC9VWvCeb2XOSTqp8DxQWdYyyo4ZRdB0eoUgpndfOj06s8liAmqGOUXbUMIquPMdSAABAYTGhAAAAueU+bbQ72HPPPV02dWp8SveFF17oslGjRrmsR48eLosaf6Lljf/93/893HZk7733dlm0ZGy0JHa0xPf111/vspaWlkyPh/IaOHCgyyZMmOCyfffd12Wvv/66y773ve+5LGr4leJmOjS3IUOGuOy73/2uy4YOHRreP1qGOrpcwg033OCyXXfd1WVRE310+YRx48aF44le2yNlr3WOUAAAgNyYUAAAgNyYUAAAgNyYUAAAgNxoytxJ1DwzevRol0WrX0rS/vvv3+VtR6ukRQ2U0XjaEzUnPfzwwy6Lmi2jFTCjVeSicaO5RCuxRtnmzZtdFq2KGdXWpk2bujg6NJto5d7Bgwdnvn9US1HNLVu2zGXnnHOOy77whS+4LFops73my2g8UWN+tCps1NRcVByhAAAAuTGhAAAAuTGhAAAAuTGhAAAAuXXrpsyogSZqqrz00ktdFjUNSXHzTWtrq8uqfUnmQYMGZc7XrVvnskceecRlK1euzD0ulE90ueSoEXjMmDEue/PNN10WraRapkYz1FafPn1cduaZZ7osuiR5e6LX3AcffNBl0cquX/va11yWtdn+xRdfDPO77rrLZeeff77LVq9e7bKHHnrIZUVdUZMjFAAAIDcmFAAAIDcmFAAAILcOJxRmdrOZrTSzp3fIrjSz5WY2v/Jxem2HCeRDHaPsqGEUXZYulxmSvi/pxzvl/5JSuqbqI6qRrA2YV155pcvOPvtsl0UrUErSrFmzXHbddde5LGqMzCpaYe2oo44Kb/uVr3zFZUceeWSm7M4773RZe/tdAjPUBHVcD71793bZ0Ucf7bLx48e7LGq2fPrpp12Wp/67sRlqwhree++9XXbGGWdkum97q6tGqwFHTeZ//dd/7bKsDZgvvPCCy6J/P6T4b+CjH/2oy6JxR42aRdXhEYqU0lxJa+owFqBmqGOUHTWMosvTQzHNzBZUDsPF5ywCxUcdo+yoYRRCVycUN0g6QNJ4Sa2SvtveDc1sqpnNM7N5XdwWUCuZ6pgaRoFRwyiMLk0oUkorUkrbUkrbJd0o6Yh3ue30lNLElNLErg4SqIWsdUwNo6ioYRRJl1bKNLPhKaW3lyI7S5LvOCmYoUOHuuyf/umfXBY1YEai5kspbsqJmneqfcnv6DK8knT44Ye77DOf+YzLxo4d67Jf/vKXLitxU6ZTxjquh4MOOshlH/7wh122zz77uCy6VHm0qh+XvK+OstVwtArrhAkTXLbffvtleryFCxeG+VVXXeWyIUOGuCxarXLz5s0umzfPH9iZNm1a5vFMmTLFZS+//LLLonFHf1NF1eGEwsx+KukESXuZ2TJJV0g6wczGS0qSWiRdVLshAvlRxyg7ahhF1+GEIqV0XhDfVIOxADVDHaPsqGEUHStlAgCA3JhQAACA3Ep/+fJoBcxRo0a57MILL3TZRz7ykUzbiBow21sRrR4NmJHoeejMbaNmKTS39n7nUVNmtJrhrrvu6rI33njDZRs2bOjC6NCMolV+x40b57KBAwe6LGrufeCBB8LtrF271mWf/OQnXTZ8+HCX/fa3v3XZV7/6VZctXrzYZe01k/7VX/2Vy5YuXeqyaKXZMuFfEQAAkBsTCgAAkBsTCgAAkBsTCgAAkBsTCgAAkFtpzvJo7yyG6Nr10RkY0dKnPXv63b/99tszPV50NodU/TM6+vTp47K/+Iu/cFl7S4afddZZLou6pcveXYzOizrupbjrftAgfxHLaIniOXPmuCzqmo9qEM0vOnsjujxAVJuvvvqqyx599NFwO1G9nnHGGS6LXl/nz5/vskWLFrkseq2fPHlyOJ6TTjrJZT/4wQ9ctn79+vD+ZcERCgAAkBsTCgAAkBsTCgAAkBsTCgAAkFshmzKjBsyo+VKKGyajBsXddtvNZcuXL3fZzJkzXRZdt749UaNnpFevXi6LljyOmiqjLLpve6KlxGfPnu0yGueaR7TMdtQgJ8VNmVED2p///GeXRU2Zzz33XIYRojsYOXKky8aPH++yqF7XrVvnsqhZUor/Ddljjz0y3W779u3hY+4saujcd999M91Xkn73u9+5LGp0LhOOUAAAgNyYUAAAgNyYUAAAgNw6nFCY2Ugze8DMFpnZQjP7XCUfbGb3mtlzlc9+JRGgAKhhNAPqGEWXpYNwq6TPp5SeMLP+kh43s3sl/W9J96eUvmlml0u6XNIXqzGoUaNGuSxqvpTiBsyoWSay1157ueySSy5xWdQ0NG/evPAxJ0yY4LKoGah///4ui1ZTi5otd911V5dFq8hJ0t133+2yq666ymVLly4N798k6l7DRRM1Cw8YMCC87ejRo122bds2l0VNclG2ZcuWDseHTEpVx9Fql8cdd5zLhg0blunxokb26HVUkt54441Mjxl5//vf77LTTz/dZZdddpnLon8rJGnx4sUui16bszaEFlWHRyhSSq0ppScqX6+XtFjSCEmTJb19SsRMSVNqNEYgF2oYzYA6RtF16rRRMxstaYKkxyQNSym1Vn70iqRwmmlmUyVNzTFGoGqoYTSDztYxNYx6yNyUaWb9JN0h6dKU0juuJJXaTlIPr4qVUpqeUpqYUpqYa6RATtQwmkFX6pgaRj1kmlCYWS+1FfAtKaW3V0VaYWbDKz8fLmllbYYI5EcNoxlQxyiyDt/ysLalxG6StDildO0OP5oj6QJJ36x8vrMrA4gad6JLwJ5yyinh/VtbW10WXVr8wAMPdNmIESNcduqpp7rsQx/6kMvWrl0bjmfPPfd0WdQQFzW5RVm0f0888YTLbrvttnA8Dz/8sMtWrVrlsmpfdr1Ial3DRROtMjhp0iSXRQ1yUtyUuWLFCpc9+OCDLotWz2TF1eooWx1Hr2dz5851WfR6tPvuu7ts+PDhLvuHf/iHcNvRa2R0SfPIySef7LKo2T56rX/kkUfCx/z+97/vsmb8u8jSQ3GMpPMlPWVm8yvZl9RWvD8zswslLZX0sZqMEMiPGkYzoI5RaB1OKFJKv5PkFzxvc2J1hwNUHzWMZkAdo+hYKRMAAOTGhAIAAOTW8MuXR82A8+fPd9nVV18d3j9qOowayKLVz6JGmzFjxrhs7733dtkBBxwQjmfNmjWZxhM1tEWXU3/ooYdcFl1OPdquFDdGoblFTZmHHXaYy0444YTw/tHqg1F9RasRNmOjGaonqqPVq1e7LFotuXfv3i6LVkqWpNNOO81lWS9fHm1n6NChLosunR41X0rSr3/96zBvNhyhAAAAuTGhAAAAuTGhAAAAuTGhAAAAuTW8KTO6XGvUaPm73/0uvH/WpsNoxcno8rHRCm277baby9q75O6QIUNc9vzzz2caT3SZZ5rcUA3RpZ+jWpfiS5C/+OKLLutuK64iv+h17/rrr3fZt771LZdFjZG77rpruJ328p1F9Rr9mxI1YE6bNs1l8+bNC7fTXV7HOUIBAAByY0IBAAByY0IBAAByY0IBAABya3hTZiRq1KzFY0ZZ1JAWZVFzkRSvvEajGuopagC74447XPbMM8+E948aOJ988kmXvfbaa5m2Dbxt06ZNLrv11ltdtnnzZpd9/etfd1l0SXNJ6tnT/9O2du1al0XN/rfccovLosuS05TscYQCAADkxoQCAADkxoQCAADkxoQCAADk1uGEwsxGmtkDZrbIzBaa2ecq+ZVmttzM5lc+Tq/9cIHOo4ZRdtQwysA66ko1s+GShqeUnjCz/pIelzRF0sckvZFSuibzxsy6dwss8no8pTSxs3eihqXevXu7rH///pnvH53plPXMKbwDNZxBVK+HHXaYy44//vjw/v369XPZ008/7bLo7I3Vq1e7jLp+h3ZruMPTRlNKrZJaK1+vN7PFkkZUd3xA7VDDKDtqGGXQqR4KMxstaYKkxyrRNDNbYGY3m9mgdu4z1czmmVl81RSgjqhhlB01jKLKPKEws36S7pB0aUrpdUk3SDpA0ni1zZy/G90vpTQ9pTSxK4f5gGqihlF21DCKLNOEwsx6qa2Ib0kpzZKklNKKlNK2lNJ2STdKOqJ2wwTyoYZRdtQwiq7DHgprW0v6JkmLU0rX7pAPr7yvJ0lnSfIdL0ABUMPxksdRhmLqbjUc1eYTTzzhsgULFmR+TJqIay/LtTyOkXS+pKfMbH4l+5Kk88xsvKQkqUXSRTUYH1AN1DDKjhpG4XV42mhVN1aC05VQaF065a6aqGHkRA1XUXQRsPZwhKJq2q1hVsoEAAC5MaEAAAC5ZT9eBABAgWzdurXRQ8AOOEIBAAByY0IBAAByY0IBAAByY0IBAAByq3dT5mpJSytf71X5vhmwL/UxqtEDEDVcFkXdH2q4dpppX6Ti7k+7NVzXha3esWGzeY1e4KVa2JfuqZmeq2baF6n59qdWmul5aqZ9kcq5P7zlAQAAcmNCAQAAcmvkhGJ6A7ddbexL99RMz1Uz7YvUfPtTK830PDXTvkgl3J+G9VAAAIDmwVseAAAgt7pPKMzsVDN7xsyWmNnl9d5+XmZ2s5mtNLOnd8gGm9m9ZvZc5fOgRo4xKzMbaWYPmNkiM1toZp+r5KXcn3qhhouDGu66MtcxNVxMdZ1QmFkPSddLOk3SoZLOM7ND6zmGKpgh6dSdsssl3Z9SOkjS/ZXvy2CrpM+nlA6VdKSkiyu/j7LuT81Rw4VDDXdBE9TxDFHDhVPvIxRHSFqSUnohpbRZ0q2SJtd5DLmklOZKWrNTPFnSzMrXMyVNqeeYuiql1JpSeqLy9XpJiyWNUEn3p06o4QKhhrus1HVMDRdTvScUIyS9vMP3yypZ2Q1LKbVWvn5F0rBGDqYrzGy0pAmSHlMT7E8NUcMFRQ13SjPWcel/52WvYZoyqyy1nTZTqlNnzKyfpDskXZpSen3Hn5Vxf5BPGX/n1DB2VMbfeTPUcL0nFMsljdzh+30rWdmtMLPhklT5vLLB48nMzHqprYhvSSnNqsSl3Z86oIYLhhrukmas49L+zpulhus9ofijpIPMbIyZ7SrpXElz6jyGWpgj6YLK1xdIurOBY8nMzEzSTZIWp5Su3eFHpdyfOqGGC4Qa7rJmrONS/s6bqoZTSnX9kHS6pGclPS/py/XefhXG/1NJrZK2qO19xwsl7am2LtznJN0naXCjx5lxX45V22G0BZLmVz5OL+v+1PF5o4YL8kEN53ruSlvH1HAxP1gpEwAA5EZTJgAAyI0JBQAAyI0JBQAAyI0JBQAAyI0JBQAAyI0JBQAAyI0JBQAAyI0JBQAAyO3/By2vEpWVA7loAAAAAElFTkSuQmCC\n",
"text/plain": [
"<Figure size 648x648 with 9 Axes>"
]
@@ -104,6 +95,13 @@
" ax.imshow(image.reshape(28, 28), cmap='gray')\n",
" ax.set_title(data.mapping[label])"
]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {