機械学習関連で勉強したことをゆるく発信していく podcast です。 Show notes は https://github.com/yoheikikuta/hikifune.fm です。
hikifune.fm
Claim This Podcastby Yohei Kikuta
20 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇯🇵
Podcast Overview
機械学習関連で勉強したことをゆるく発信していく podcast です。 Show notes は https://github.com/yoheikikuta/hikifune.fm です。
Language
🇯🇵
Publishing Since
9/13/2020
1 verified contact email on file for hikifune.fm
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
April 24, 2022
第18回：hikifunefm ラストの振り返り回
<p>曳舟から引っ越すので hikifunefm というタイトルでの配信が最後ということで、ゲストを呼んでこれまでを振り返る雑談回です。<br> Show notes は <a href="https://github.com/yoheikikuta/hikifune.fm/blob/main/ep/018.md">https://github.com/yoheikikuta/hikifune.fm/blob/main/ep/018.md</a> です。<br> 発表者：@yohei_kikuta, @karino2012</p> <p><br></p>
February 20, 2022
第17回：Optuna について Committer と話す回
<p>パラメタ最適化のフレームワークである Optuna について、committer とワイワイ話す回です。<br> Show notes は <a href="https://github.com/yoheikikuta/hikifune.fm/blob/main/ep/017.md ">https://github.com/yoheikikuta/hikifune.fm/blob/main/ep/017.md </a>です。<br> 発表者：@himkt, @yohei_kikuta</p>
August 15, 2021
第16回：AlphaFold についてタンパク質研究者と議論する回
<p>アミノ酸配列からタンパク質の立体構造を予測する問題において文字通り桁違いの性能を示した AlphaFold(2) に関して、タンパク質研究のプロとわいわい議論する回です。<br> Show notes は <a href="https://github.com/yoheikikuta/hikifune.fm/blob/main/ep/016.md">https://github.com/yoheikikuta/hikifune.fm/blob/main/ep/016.md</a> です。<br> 発表者：@Ag_smith, @yohei_kikuta</p> <p>00:00:38~ ゲスト自己紹介と論文についての簡単な所感<br> 00:08:48~ タンパク質の立体構造予測問題<br> 00:26:11~ AlphaFold のモデルの概要<br> 01:14:19~ ドメイン知識に関する質問とその回答<br> 01:33:33~ 機械学習に関する質問とその回答<br> 01:55:39~ 今後の展望</p>
20 total episodes available
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Frequently asked questions
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