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コンテンツは PyTorch, Edward Yang, and Team PyTorch によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、PyTorch, Edward Yang, and Team PyTorch またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
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Double backwards
Manage episode 296913575 series 2921809
コンテンツは PyTorch, Edward Yang, and Team PyTorch によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、PyTorch, Edward Yang, and Team PyTorch またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
Double backwards is PyTorch's way of implementing higher order differentiation. Why might you want it? How does it work? What are some of the weird things that happen when you do this?
Further reading.
- Epic PR that added double backwards support for convolution initially https://github.com/pytorch/pytorch/pull/1643
83 つのエピソード
シェア
Manage episode 296913575 series 2921809
コンテンツは PyTorch, Edward Yang, and Team PyTorch によって提供されます。エピソード、グラフィック、ポッドキャストの説明を含むすべてのポッドキャスト コンテンツは、PyTorch, Edward Yang, and Team PyTorch またはそのポッドキャスト プラットフォーム パートナーによって直接アップロードされ、提供されます。誰かがあなたの著作物をあなたの許可なく使用していると思われる場合は、ここで概説されているプロセスに従うことができますhttps://ja.player.fm/legal。
Double backwards is PyTorch's way of implementing higher order differentiation. Why might you want it? How does it work? What are some of the weird things that happen when you do this?
Further reading.
- Epic PR that added double backwards support for convolution initially https://github.com/pytorch/pytorch/pull/1643
83 つのエピソード
すべてのエピソード
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Player FMアプリでオフラインにしPlayer FMう！
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