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We should add the section, so advanced users can skip certain notebooks / skip to certain sections.
Also rename the section (either "Learning Objectives" or "In this section you'll learn".
| Noteb…
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A layer-wise training method for the convolutional autoencoder is used in (Masci, Jonathan, et al. "Stacked convolutional auto-encoders for hierarchical feature extraction." Artificial Neural Networks…
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if we get a sparse model, is there an effective way to do sparse convolutional for inference? I just know 2015 CVPR paper "Sparse Convolutional Neural Networks", is there exit another more effective…
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Hi！
In paper 'Real-Time Grasp Detection Using Convolutional Neural Networks'
part IV. GRASP DETECTION WITH NEURAL NETWORKS
C. Regression + Classification
D. MultiGrasp Detection
Do you have a …
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https://www.researchgate.net/publication/302514661_Multispectral_Pedestrian_Detection_using_Deep_Fusion_Convolutional_Neural_Networks
Maybe the first deep learning based multi-spectral pedestrian d…
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## 0. 論文
### タイトル
Question Answering over Freebase with Multi-Column Convolutional Neural Networks
### 論文リンク
https://www.aclweb.org/anthology/P15-1026
### 著者
Li Dong†∗ Furu Wei‡ Ming Zhou‡ Ke Xu…
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Opisać i zadecydować o tym jak będziemy jak wyglądać nasza architektura CNN.
- [ ] różna długość próbek na wejście do CNN - rozwiązania:
a) przycięcie próbek,
b) podział sygnałów próbek na 'pod-p…
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### Description
### Expected behavior with the suggested feature
- [ ] [ContraRec: "Sequential Recommendation with Multiple Contrast Signals" Wang et al., TOIS'2022.](https://github.com/TH…
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- Name of layer type:
deform_conv2d
- Is this a PyTorch or a TensorFlow layer type:
PyTorch
- Your version of coremltools:
7.0b1
- Your version of PyTorch/TensorFlow:
PyTorch 2.0.1
- I…