tr:nth-of-type(odd) {\n  background-color: rgba(0, 0, 0, 0.05);\n}\n\n.table-hover tbody tr:hover {\n  color: #212529;\n  background-color: rgba(0, 0, 0, 0.075);\n}\n\n.table-primary,\n.table-primary > th,\n.table-primary > td {\n  background-color: #b8daff;\n}\n\n.table-primary th,\n.table-primary td,\n.table-primary thead th,\n.table-primary tbody + tbody {\n  border-color: #7abaff;\n}\n\n.table-hover .table-primary:hover {\n  background-color: #9fcdff;\n}\n\n.table-hover .table-primary:hover > td,\n.table-hover...

tr:nth-of-type(odd) {\n  background-color: rgba(0, 0, 0, 0.05);\n}\n\n.table-hover tbody tr:hover {\n  color: #212529;\n  background-color: rgba(0, 0, 0, 0.075);\n}\n\n.table-primary,\n.table-primary > th,\n.table-primary > td {\n  background-color: #b8daff;\n}\n\n.table-primary th,\n.table-primary td,\n.table-primary thead th,\n.table-primary tbody + tbody {\n  border-color: #7abaff;\n}\n\n.table-hover .table-primary:hover {\n  background-color: #9fcdff;\n}\n\n.table-hover .table-primary:hover > td,\n.table-hover...

  network plugins which was first widely noticed in 1.16 (though some users saw it
  earlier than that, possibly only with specific network plugins). If you were previously
  using ethtool to disable checksum offload on your primary network interface, you should
  now be able to stop doing that. ([#92035](https://github.com/kubernetes/kubernetes/pull/92035), [@danwinship](https://github.com/danwinship)) [SIG Network and Node]

■"PlayStation Network"のご利用に関する規約 http://www.jp.playstation.com/R/psn_kiyaku ■特定商取引法に基づく表示 http://www.jp.playstation.com/R/aboutstore ■よくあるお問い合わせ（FAQ） http://www.jp.playstation.com/support/ ■株式会社ソニー・コンピュータエンタテインメントの個人情報保護方針 http://www.jp.playstation.com/about/privacy.html ---------- PDFサンプル.pdf PDFサンプルデータ お知らせPDFサンプルデータお知らせPDFサンプルデータお知らせPDF サンプルデータお知らせPDFサンプルデータお知らせPDFサンプルデー タお知らせPDFサンプルデータお知らせPDFサンプルデータお知らせ PDFサンプルデータお知らせPDFサンプルデータお知らせPDFサンプル データお知らせPDFサンプルデータ お知らせPDFサンプルデータお知らせ PDFサンプルデータお知らせPDFサ ンプルデータお知らせPDFサンプル...

*   Keras:

    *   `tf.keras.layers.Conv` now includes a public `convolution_op` method.
        This method can be used to simplify the implementation of Conv
        subclasses. There are two primary ways to use this new method. The first
        is to use the method directly in your own `call` method: `python class
        StandardizedConv2D(tf.keras.layers.Conv2D): def call(self, inputs):