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2022-05-22 10:21:57 +02:00
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supervised-airfoils.ipynb
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@@ -275,7 +275,7 @@
"\n", "\n",
"Here's a overview of the architecure:\n", "Here's a overview of the architecure:\n",
"\n", "\n",
"![An overview of the U-net we're using for this learning task](https://github.com/tum-pbs/pbdl-book/blob/master/resources/supervised-airfoils-unet.jpg?raw=1)\n", "![An overview of the U-net we're using for this learning task](resources/supervised-airfoils-unet.jpg)\n",
"\n", "\n",
"First, we'll define a helper to set up a convolutional block in the network, `blockUNet`. Note, we don't use any pooling! Instead we use strides and transpose convolutions (these need to be symmetric for the decoder part, i.e. have an uneven kernel size), following [best practices](https://distill.pub/2016/deconv-checkerboard/). The full pytroch neural network is managed via the `DfpNet` class." "First, we'll define a helper to set up a convolutional block in the network, `blockUNet`. Note, we don't use any pooling! Instead we use strides and transpose convolutions (these need to be symmetric for the decoder part, i.e. have an uneven kernel size), following [best practices](https://distill.pub/2016/deconv-checkerboard/). The full pytroch neural network is managed via the `DfpNet` class."
] ]
@@ -808,4 +808,4 @@
}, },
"nbformat": 4, "nbformat": 4,
"nbformat_minor": 0 "nbformat_minor": 0
} }