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### Deep Learning Simplified Repository (Proposing new issue)
:red_circle: **Project Title** : Employee Turnover
:red_circle: **Aim** : Predict Employee Turnover with scikitlearn
:red_circle: **Dat…
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Hello, I find that you are also engaged in hyperspectral remote sensing image classification. Have you ever tried to use graph convolutional neural network for hyperspectral image classification? Can …
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This issue can be a collection and discussion of methods we could add to the library at some point, in no particular order :) Feel free to comment with suggestions and if you feel comfortable, you are…
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## Classification of Time-Series Images Using Deep Convolutional Neural Networks
### Nima Hatami, Yann Gavet, Johan Debayle
Convolutional Neural Networks (CNN) has achieved a great success in imag…
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Feel free to use any online tutorial/repository as a backbone. Ultimately, I want you to be able to explain line-by-line _what_ the code is accomplishing. Choose a CNN on a simple dataset, e.g. MNIST …
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## 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 …
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## 一言でいうと
これまでエキスパートの手によって設計されてきたネットワークアーキテクチャを、進化的アルゴリズムの一つである山登り法を用いて自動的に探索する論文。
このような手法はNAS(Neural Architecture Search)と呼ばれており、論文では本手法をNASH (NAS by Hillclimbing) と称している。
NASはこれ以前にも多くの研究がなされてきたが、…
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https://doi.org/10.1101/099358 (http://biorxiv.org/content/early/2017/01/10/099358)
> Many biological processes are governed by protein-ligand interactions. Of such is the recognition of self and n…
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related paper
|摘要|
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|We present a class of efficient models called MobileNets for mobile and embedded vision applications. MobileNets are based on a streamlined architecture that uses depthw…
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The goal is to study DL method for BCI classification:
- [Deep learning with convolutional neural networks for EEG decoding and visualization](https://pubmed.ncbi.nlm.nih.gov/28782865/), 1744 citati…