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https://www.researchgate.net/publication/332510981_Building_Footprint_Extraction_from_High-Resolution_Images_via_Spatial_Residual_Inception_Convolutional_Neural_Network
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the structure seems to be different from the ResNeXt block in the paper "Aggregated Residual Transformations for Deep Neural Networks".
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Hi everyone :)
I can see the first Leela Zero's long play had 5 residual blocks with 64 filters. Is it the same neural network architecture that SL Leela 0.11.0 had? Was the 5 blocks Leela Zero the …
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PGN with Jax implementation and NeurIPS 2020 paper____
├─Message-Passing Neural Network (MPNN) for Graph Convolutional Networks (GCNs)____
│ ├─■──"Applying Triplet Message Pas…
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This neural network architecture is quite different from that in Alphago Zero's paper, for instance, the latter took a resnet approach, using 1 convolutional block and 19 residual blocks.
Simply sta…
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related paper
|摘要|
|---|
|Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than those us…
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https://arxiv.org/pdf/1512.03385.pdf
Deeper neural networks are more difficult to train. We present a residual learning framework to ease the training of networks that are substantially deeper than…
leo-p updated
7 years ago
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Explore exporting the pre-trained model using the [Open Neural Network Exchange (ONNX) format](https://pytorch.org/tutorials/advanced/super_resolution_with_onnxruntime.html). This could then be import…
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This feature request is about an automated creation of visualizations from PyTorch/Keras sequential architectures.
## Current State
Neural network structures need to be explicitly created for vi…
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When running the provided data generation code for 128x128 2D reaction diffusion, I am observing very high PDE residual at the beginning of the trajectory. The lowest that the residual gets is around …