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_drafts/deconvolutiontohu-bufalsehamouyameyou.markdown

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+---
+title: Deconvolutionと呼ぶのはもうやめよう
+date: 2017-03-05 13:44:00 +09:00
+---
+
+深層学習において、Convolutional Layer (畳み込み層)とは、あるシェイプのテンソルをそれ以下のサイズに縮約する性質のレイヤーです。一方でDeconvolution Layer (逆畳み込み層)とは、[Jonathan Long, et al](https://arxiv.org/abs/1411.4038)の論文で提案されたレイヤーで、あるシェイプのテンソルをそれ以上のサイズに拡大する性質を持ちます。
+
+ところが実際のところ、このレイヤーはTransposed Convolution Layer (転置畳み込み層)と呼ぶべきです。なぜかを以下に示します。
+
+> Upsampling is backwards strided convolution. (アップサンプリングは
+
+[Stack Exchange](http://datascience.stackexchange.com/questions/6107/what-are-deconvolutional-layers)での議論を踏まえると

_drafts/deep-learning-travel-guide.markdown

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+---
+title: Deep Learning Travel Guide
+date: 2017-02-27 01:28:00 +09:00
+---
+
+## Online Courses
+
+- Coursera Machine Learning
+- fast.ai
+- Udacity
+
+## Books
+

_drafts/gst-a-powerful-pal-for-ghq.markdown

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+---
+title: 'gst: a powerful pal for ghq'
+date: 2017-06-02 23:02:00 +09:00
+---
+
+[gst](https://github.com/uetchy/gst) is tiny and simple but powerful pal for [ghq](https://github.com/motemen/ghq).
+
+Have you ever imagined what if you know which commits are unpushed or which changes are uncommitted yet, for all of the repositories you have cloned on your machine?
+
+You might want to check out my ongoing project `gst`:
+it might help you to know what ongoing changes are remained to be committed or pushed among entire your local repositories.