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Merge branch 'master' of git.wmi.amu.edu.pl:filipg/aitech-eks

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Filip Gralinski 2021-05-10 13:37:06 +02:00
commit 517fb0dae8
2 changed files with 60 additions and 58 deletions
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1
cw/08_regresja_logistyczna.ipynb
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@ -777,6 +777,7 @@
"\n",
" def forward(self, x):\n",
" x = self.fc1(x)\n",
" x = torch.relu(x)\n",
" x = self.fc2(x)\n",
" x = torch.sigmoid(x)\n",
" return x"

117
cw/08_regresja_logistyczna_ODPOWIEDZI.ipynb
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@ -402,11 +402,11 @@
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@ -449,10 +449,10 @@
"data": {
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" tensor([[-0.0059, 0.0035, 0.0021, ..., -0.0042, -0.0057, -0.0049]],\n",
" tensor([[ 0.0006, -0.0076, 0.0002, ..., 0.0051, 0.0034, -0.0004]],\n",
" requires_grad=True),\n",
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@ -556,10 +556,10 @@
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@ -604,7 +604,7 @@
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@ -645,7 +645,7 @@
"name": "stdout",
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"text": [
"accuracy: 0.5587144622991347\n"
"accuracy: 0.5599505562422744\n"
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}
],
@ -664,7 +664,7 @@
"name": "stdout",
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"text": [
"BCE loss: 0.6745463597170355\n"
"BCE loss: 0.6745760098965412\n"
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}
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@ -808,7 +808,7 @@
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@ -830,11 +830,11 @@
"data": {
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"execution_count": 40,
@ -857,24 +857,24 @@
"text": [
"the\n",
"of\n",
"christ\n",
"to\n",
"church\n",
"god\n",
"rutgers\n",
"jesus\n",
"christ\n",
"sin\n",
"to\n",
"rutgers\n",
"god\n",
"jesus\n",
"christians\n",
"we\n",
"and\n",
"athos\n",
"1993\n",
"hell\n",
"our\n",
"athos\n",
"his\n",
"he\n",
"hell\n",
"christian\n",
"heaven\n",
"christian\n"
"our\n"
]
}
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@ -892,11 +892,11 @@
"data": {
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"values=tensor([-0.3478, -0.2578, -0.2455, -0.2347, -0.2330, -0.2265, -0.2205, -0.2050,\n",
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"indices=tensor([5119, 8096, 5420, 1627, 6194, 6901, 4436, 9970, 5946, 3116, 1036, 9906,\n",
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},
"execution_count": 42,
@ -922,23 +922,23 @@
"keith\n",
"sgi\n",
"livesey\n",
"host\n",
"nntp\n",
"caltech\n",
"nntp\n",
"posting\n",
"morality\n",
"host\n",
"you\n",
"morality\n",
"edu\n",
"atheism\n",
"wpd\n",
"mathew\n",
"solntze\n",
"sandvik\n",
"atheists\n",
"mathew\n",
"com\n",
"solntze\n",
"islam\n",
"islamic\n",
"jon\n",
"islam\n"
"okcforum\n",
"atheists\n"
]
}
],
@ -969,6 +969,7 @@
"\n",
" def forward(self, x):\n",
" x = self.fc1(x)\n",
" x = torch.relu(x)\n",
" x = self.fc2(x)\n",
" x = torch.sigmoid(x)\n",
" return x"
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