
A Look Back at Deep Learning in 2021 (Research)
January 03, 2022 | 11 min readLet's look back at the updates in deep learning in 2021! This post covers eight research papers worth checking out.
Under the sea, in the hippocampus's garden...
Let's look back at the updates in deep learning in 2021! This post covers eight research papers worth checking out.
The ability of StyleGAN to generate super-realistic images has been inspiring many application works. To have some sort of organized view on them, this post covers important papers with a focus on image manipulation.
The Kaggle SETI competition has ended. Did kagglers succeed in finding aliens? Let's see.
It's so easy for me to forget how to setup Jupyter in a newly created Poetry / Pipenv environment. So, here it is.
This post shows you how to set up a cheap and comfortable computing environment for Kaggle using Colab Pro and Google Drive. Happy Kaggling!
This post attempts to take a deeper look at F1 score. Do you know that, for calibrated classifiers, the optimal threshold is half the max F1? How come? Here it's explained.
コロナ以前に書かれた「広義・新型コロナウイルス関連書籍」をいくつか読んだので、良かったものを紹介します。自然科学寄りの選書です。
This post steps forward to multiple linear regression. The method of least squares is revisited --with linear algebra.
This post summarizes the basics of simple linear regression --method of least squares and coefficient of determination.