サクサク読めて、アプリ限定の機能も多数!
トップへ戻る
TGS2024
www.argmin.net
Ed. Note: this post is again in my voice, but co-written with Kevin Jamieson. Kevin provided all of the awesome plots, and has a great tutorial for implementing the algorithm I’ll describe in this post In the last post, I argued that random search is a competitive method for black-box parameter tuning in machine learning. This is actually great news! Random search is a incredibly simple algorithm,
Ed. Note: this post is in my voice, but it was co-written with Kevin Jamieson. Kevin provided the awesome plots too. It’s all the rage in machine learning these days to build complex, deep pipelines with thousands of tunable parameters. Now, I don’t mean parameters that we learn by stochastic gradient descent. But I mean architectural concerns, like the value of the regularization parameter, the s
このページを最初にブックマークしてみませんか?
『www.argmin.net』の新着エントリーを見る
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く