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@@ -4,7 +4,7 @@
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"metadata": {
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"colab": {
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"provenance": [],
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"authorship_tag": "ABX9TyNAm5SrknniRXMQy1I5fuve",
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"authorship_tag": "ABX9TyOgDisWDe/zHpfTGCH8AZ3i",
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"include_colab_link": true
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},
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"kernelspec": {
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@@ -127,7 +127,7 @@
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"D_o = 10\n",
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"\n",
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"\n",
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"# TODO Create a model with the folowing layers\n",
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"# TODO Create a model with the following layers\n",
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"# 1. Convolutional layer, (input=length 40 and 1 channel, kernel size 3x3, stride 2, padding=\"valid\", 15 output channels )\n",
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"# 2. ReLU\n",
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"# 3. Convolutional layer, (input=length 19 and 15 channels, kernel size 3x3, stride 2, padding=\"valid\", 15 output channels )\n",
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