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Implement the CNN from [this paper](https://arxiv.org/abs/2101.11589)
**Is your feature request related to a problem? Please describe.**
Needed for direct comparison between the CNN and other arch…
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Hi @wangf3014 ,
Thanks for the great work. I have gone through the paper. Results seems very promising and exciting to implement. I am just wondering whether have you got a chance to compare all the …
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Do the results translate to non-transformer architectures/tasks such as standard CNNs?
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**Step 3: Normalized and reshaped the data.**
Study the architecture of CNNs. Learn about convolutional layers, pooling layers, and fully connected layers.
**Details**:
- Normalized pixel values fr…
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- CNN addition problem
- Increase amount of training data by a lot
- Move all the constant functions in CNN training into a .py file (or more than one eventually -- e.g. training dataset cr…
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**Is your feature request related to a problem? Please describe.**
Researchers often need to experiment with various CNN architectures to improve face recognition performance. Currently, the system l…
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Hi, many thanks for your work on this amazing package.
There is a paper called ["Spatial Graph Convolutional Networks"](https://arxiv.org/pdf/1909.05310), with accompanying [PyTorch code](https://…
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Hi, thanks your this work
I would like to know the CNN model architecture that you are implemented. I think you are based on this post : http://aqibsaeed.github.io/2016-11-04-human-activity-recognit…
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Hi Erik,
I attended your PyDX presentation about deep learning and I finally got around to try out my own CNN development with Theano and Lasagne. I looked through your code examples and your Caffe …