EPISODE · Apr 29, 2026 · 19 MIN

transformerの仕組み

現代の自然言語処理における技術的転換点となったTransformerモデルの構造と革新性を包括的に解説したものです。従来のRNNやLSTMが抱えていた並列計算の困難さや長距離の文脈保持という課題を、Attention（注意機構）のみを採用することで克服した経緯

Episode metadata supplied by the publisher feed · Published Apr 29, 2026

Embed this episode

Attribution link and audio player

Ready to play

transformerの仕組み

0:00 19:13

1×

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Similar Episodes

No similar episodes found.

No similar podcasts found.

This episode is 19 minutes long.

This episode was published on April 29, 2026.

Yes. Use the download control on the episode player to save the publisher-provided media file.

URL copied to clipboard!