-
您好,我在Google学术上没有查到论文《Multi-Channel Convolutional Distilled Transformer for Automatic Modulation Classification》,请问可以在哪里获取?谢谢
-
### 🚀 The feature, motivation and pitch
I calculated in non-autoregressive tts, asr, machine-translation using transformer with convolutional network. Machine learning was well carried out. So, I …
-
Hey John! Here's the curriculum that I've worked on in the past. It's a bit less focused on language models as a sole topic, and more on modern ML from a broad perspective.
- Essential Concepts of …
-
From [Algorithmic Simplicity](https://www.youtube.com/@algorithmicsimplicity):
- [x] [Why Does Diffusion Work Better than Auto-Regression? - YouTube](https://www.youtube.com/watch?v=zc5NTeJbk-k)
-…
-
## TL; DR
- ViT feature representations are *less hierarchical*.
- Early tr blocks learn both local and global dependencies provided with large enough dataset.
- Skip connections play much more i…
-
## 論文リンク
- [arXiv](https://arxiv.org/abs/2108.08810)
## 公開日(yyyy/mm/dd)
2021/08/19
Google Research Brain Team
## 概要
## TeX
```
% yyyy/mm/dd
@article{
raghu2021do,
title={Do …
-
We can have an example of a Siamese network (similar to Sander Dieleman's [suggestion](https://github.com/Lasagne/Lasagne/issues/168#issuecomment-81134242) ) and convolutional spatial transformer as d…
-
2015), ReLU (Nair & Hinton, 2010), local contrast normalization (Jarrett et al., 2009) and
max-pooling (Scherer et al., 2010) layers
-
### Describe the feature or idea you want to propose
Its time to tidy up the convolutional transformers, will collate all issues here and make tasks for smaller PRs. Replaces #208
### To Do
…
-
Read the papers in [Deep Learning’s Most Important Ideas](https://www.kdnuggets.com/2020/09/deep-learnings-most-important-ideas.html).
- [x] Tackling ImageNet with AlexNet and Dropout
- [x] [I…