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This commit is contained in:
Jakub Pokrywka
parent
5c09c8f0de
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@ -600,7 +600,7 @@
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" def __init__(self,FEAUTERES, output_size):\n",
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" def __init__(self,FEAUTERES, output_size):\n",
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" super(NeuralNetworkModel, self).__init__()\n",
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" super(NeuralNetworkModel, self).__init__()\n",
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" self.fc1 = torch.nn.Linear(FEAUTERES,OUTPUT_SIZE)\n",
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" self.fc1 = torch.nn.Linear(FEAUTERES,OUTPUT_SIZE)\n",
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" self.softmax = torch.nn.Softmax(dim=0)\n",
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" self.softmax = torch.nn.LogSoftmax(dim=0)\n",
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" \n",
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" \n",
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"\n",
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"\n",
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" def forward(self, x):\n",
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" def forward(self, x):\n",
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{
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{
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"data": {
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"data": {
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"text/plain": [
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"tensor([[0.3356, 0.3335, 0.3320, 0.3359, 0.3320, 0.3325, 0.3326, 0.3328, 0.3349,\n",
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"tensor([[-1.0965, -1.0992, -1.0954, -1.1094, -1.1023, -1.1015, -1.0976, -1.1032,\n",
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" 0.3359, 0.3335, 0.3323, 0.3333, 0.3320, 0.3325, 0.3326, 0.3323, 0.3346,\n",
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" -1.0983, -1.1051, -1.1022, -1.0982, -1.0961, -1.0947, -1.1029, -1.0879,\n",
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" 0.3338, 0.3328],\n",
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" -1.1006, -1.0991, -1.1053, -1.0948],\n",
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" [0.3308, 0.3327, 0.3350, 0.3315, 0.3335, 0.3331, 0.3334, 0.3323, 0.3333,\n",
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" [-1.1062, -1.0984, -1.0988, -1.0943, -1.0954, -1.0947, -1.0944, -1.0975,\n",
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" 0.3314, 0.3312, 0.3342, 0.3338, 0.3339, 0.3321, 0.3364, 0.3342, 0.3346,\n",
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" -1.0951, -1.0909, -1.0989, -1.0925, -1.0958, -1.1003, -1.1007, -1.1038,\n",
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" 0.3325, 0.3330],\n",
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" -1.0993, -1.0939, -1.0864, -1.1039],\n",
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" [0.3337, 0.3338, 0.3330, 0.3326, 0.3346, 0.3344, 0.3340, 0.3349, 0.3319,\n",
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" [-1.0932, -1.0983, -1.1017, -1.0923, -1.0981, -1.0997, -1.1038, -1.0952,\n",
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" 0.3328, 0.3352, 0.3335, 0.3329, 0.3341, 0.3354, 0.3310, 0.3335, 0.3308,\n",
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" -1.1024, -1.0999, -1.0947, -1.1052, -1.1039, -1.1009, -1.0923, -1.1042,\n",
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" 0.3336, 0.3342]], grad_fn=<SoftmaxBackward0>)"
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" -1.0960, -1.1028, -1.1042, -1.0971]], grad_fn=<LogSoftmaxBackward0>)"
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]
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]
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},
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},
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"execution_count": 35,
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"execution_count": 35,
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{
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"data": {
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"text/plain": [
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"(-0.2123568688744858, 0.6968768414849735)"
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"(1.356017852784889, 0.7503830288744844)"
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]
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]
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},
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"metadata": {},
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{
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"text/plain": [
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"(-0.21150285825686388, 0.6274301873453517)"
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"(1.3751668614859125, 0.687875574407918)"
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"metadata": {},
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"text/plain": [
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"(-0.2260802420329261, 0.7077195050088392)"
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"(1.1723477356421224, 0.7776075427224514)"
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"text/plain": [
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"(-0.2241674092347734, 0.6447507953340403)"
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"(1.205798993834593, 0.7143867090844821)"
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]
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"(-0.24119761869811843, 0.7084266352386565)"
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"(-0.23810926345748165, 0.6451042771297278)"
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"(1.0813934570616233, 0.7260516083421704)"
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]
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"(-0.2576815719789242, 0.709958750736594)"
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"(0.9342609466035435, 0.8040070713022982)"
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"(-0.25330778045698965, 0.6465182043124779)"
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"(0.9875037953410312, 0.7398373983739838)"
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"(-0.2753856425153275, 0.7119622863877431)"
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"(0.854015181081465, 0.8131997642899234)"
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"(-0.26963572898341726, 0.6489925768822906)"
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"(0.9146476251133426, 0.7486744432661718)"
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"application/vnd.jupyter.widget-view+json": {
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"application/vnd.jupyter.widget-view+json": {
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"model_id": "5e452a224a6c471889d040721fa0b823",
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"model_id": "441ba9bb6b6441458b5afad3746d89f5",
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"version_major": 2,
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"version_major": 2,
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"version_minor": 0
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"tensor([-1.0438, -0.1988, -0.7277, -0.3142, 0.6025, 1.0181, 0.0447, 0.1792,\n",
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"tensor([ 0.6715, -0.1880, 0.1221, -0.5367, 0.5795, 0.2334, -0.2800, -1.0290,\n",
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" -0.2312], grad_fn=<AddBackward0>)"
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" 1.2367], grad_fn=<AddBackward0>)"
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]
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]
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},
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},
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"execution_count": 61,
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"0.6652892561983471"
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