Top stories published by Taiwan AI Academy in 2019

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Top Stories published by Taiwan AI Academy in 2019

2019

Yu-Ru Tsai in Taiwan AI Academy

Mar 9, 2019

What are Autoencoders?

簡單介紹 Autoencoder的原理，以及常見的應用。

WenWei Kang in Taiwan AI Academy

Mar 14, 2019

Back-propagation

Back-propagation(BP)是目前深度學習大多數NN(Neural Network)模型更新梯度的方式，在本文中，會從NN的Forward、Backword逐一介紹推導。

2 responses

黃顯堯 in Taiwan AI Academy

Dec 10, 2019

提煉再提煉濃縮再濃縮：Neural Architecture Search 介紹

[Updates]

2021/07/12 — 更新圖片以及文字內容。

Yu-Ru Tsai in Taiwan AI Academy

Jan 31, 2019

Explain Your Machine Learning Model by Shap. (part 1)

An introduction of Shap value and demo how to…

WenWei Kang in Taiwan AI Academy

Jul 8, 2019

2019-NLP最強模型: XLNet

在2019年6月中旬Google提出一個NLP模型XLNet，在眾多NLP任務包括RACE, GLUE Benchmark以及許多Text-classification上輾壓眾生，尤其是在號稱最困難的大型閱讀理解QA任務RACE足足超越BERT…

3 responses

Yuki Liu in Taiwan AI Academy

Jul 1, 2019

Clustering method 4

Hierarchical Clustering — Agglomerative Clustering

HongDa Yen in Taiwan AI Academy

Jan 17, 2019

Python 的可迭代物件、迭代器和產生器

這篇文章是參考 Vincent Driessen 所寫的 Iterables vs. Iterators vs. Generators…

1 response

Lung-Ying Ling in Taiwan AI Academy

Mar 23, 2019

R-CNN學習筆記

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1. 大綱

RCNN主要用於物體檢測，首先通過selective…

Abby Yeh in Taiwan AI Academy

Jun 17, 2019

不到50行程式讓 AI 幫你偵測異常資料

A Simple Way to Detect Abnormal Images

Kinna Chen in Taiwan AI Academy

Jan 23, 2019

Clustering 分群懶人包

什麼是 Clustering 分群呢?

2018

2020

These were the top 10 stories published by Taiwan AI Academy in 2019. You can also dive into monthly archives for 2019 by using the calendar at the top of this page.