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**Describe the bug**
I have developed a code for searching different CNN models with a specific number of parameters, however after an architecture sampled during the optimization that exceeds the …
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In the implementation of pre-training, you first trained a real-valued resnet to initialize the bnn with the same hyperparameter settings of the original resnet. The architecture of the Bi-Real-net an…
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Could this repository add a new feature that can draw 3D CNN architecture?
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I Just want to know if this Face Recognition usses CNN, and if it is the case, what kind of architecture you used?
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### Motivation and description
Group equivariant CNN (G-CNN) embed rotation invariance or (and) scale invariance on top of translation invariance in CNNs.
Some references:
- [Group Equivariant Conv…
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@kaviecos and @mihow have designed & written the specifications for a new ML backend that orchestrates multiple types of models by different research teams, across multiple stages of processing, and i…
mihow updated
2 weeks ago
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GradCAM is initially devised for CNNs, but can GradCAM be available for Transformer or some other architectures with self-attention?
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## 書誌情報
### 論文リンク
http://arxiv.org/abs/1901.06032v7
### 著者/所属機関
### conf/journal
### year
2020
## どんな論文か?
最近のDL構造に関するサーベイ論文
## 新規性
## 手法
## 結果
## コメント
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- First create baseline CNN to create architecture of modeling
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In file Active-Learning-Bayesian-Convolutional-Neural-Networks/ConvNets/active_learning/BCNN_cifar10.py , the architecture of the model is still a CNN, rather than a BCNN. Besides, the training method…