diff --git a/index.html b/index.html
index b2bd3999..8f5a7f1c 100644
--- a/index.html
+++ b/index.html
@@ -7,7 +7,7 @@
   <link href="https://www.w3.org/StyleSheets/TR/2021/W3C-ED" rel="stylesheet">
   <meta content="Bikeshed version 742f3d674, updated Mon Nov 4 14:56:54 2024 -0800" name="generator">
   <link href="https://www.w3.org/TR/webnn/" rel="canonical">
-  <meta content="673c6b538dec7282376fbe45ed3648713d4be9ce" name="revision">
+  <meta content="63e73b3efe12e4d6cf856e3e7d755e01aa92973d" name="revision">
   <meta content="dark light" name="color-scheme">
   <link href="https://www.w3.org/StyleSheets/TR/2021/dark.css" media="(prefers-color-scheme: dark)" rel="stylesheet" type="text/css">
 <style>
@@ -1018,7 +1018,7 @@
   <div class="head">
    <p data-fill-with="logo"><a class="logo" href="https://www.w3.org/"> <img alt="W3C" height="48" src="https://www.w3.org/StyleSheets/TR/2021/logos/W3C" width="72"> </a> </p>
    <h1 class="p-name no-ref" id="title">Web Neural Network API</h1>
-   <p id="w3c-state"><a href="https://www.w3.org/standards/types/#ED">Editor’s Draft</a>, <time class="dt-updated" datetime="2024-11-06">6 November 2024</time></p>
+   <p id="w3c-state"><a href="https://www.w3.org/standards/types/#ED">Editor’s Draft</a>, <time class="dt-updated" datetime="2024-11-08">8 November 2024</time></p>
    <details open>
     <summary>More details about this document</summary>
     <div data-fill-with="spec-metadata">
@@ -3222,28 +3222,10 @@ <h4 class="heading settled" data-level="7.7.10" id="api-mlgraphbuilder-conv2d"><
         <dl class="switch">
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlinputoperandlayout-nchw" id="ref-for-dom-mlinputoperandlayout-nchw④">"nchw"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>batches</var> be <var>inputShape</var>[0].</p>
-           <li data-md>
-            <p>Let <var>inputChannels</var> be <var>inputShape</var>[1].</p>
-           <li data-md>
-            <p>Let <var>inputHeight</var> be <var>inputShape</var>[2].</p>
-           <li data-md>
-            <p>Let <var>inputWidth</var> be <var>inputShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>batches</var>, <var>inputChannels</var>, <var>inputHeight</var>, <var>inputWidth</var> » be <var>inputShape</var>.</p>
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlinputoperandlayout-nhwc" id="ref-for-dom-mlinputoperandlayout-nhwc①">"nhwc"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>batches</var> be <var>inputShape</var>[0].</p>
-           <li data-md>
-            <p>Let <var>inputHeight</var> be <var>inputShape</var>[1].</p>
-           <li data-md>
-            <p>Let <var>inputWidth</var> be <var>inputShape</var>[2].</p>
-           <li data-md>
-            <p>Let <var>inputChannels</var> be <var>inputShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>batches</var>, <var>inputHeight</var>, <var>inputWidth</var>, <var>inputChannels</var> » be <var>inputShape</var>.</p>
         </dl>
        <li data-md>
         <p>Let <var>filterShape</var> be <var>filter</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape①⑧">shape</a>.</p>
@@ -3252,52 +3234,16 @@ <h4 class="heading settled" data-level="7.7.10" id="api-mlgraphbuilder-conv2d"><
         <dl class="switch">
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlconv2dfilteroperandlayout-hwio" id="ref-for-dom-mlconv2dfilteroperandlayout-hwio②">"hwio"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>filterHeight</var> be <var>filterShape</var>[0].</p>
-           <li data-md>
-            <p>Let <var>filterWidth</var> be <var>filterShape</var>[1].</p>
-           <li data-md>
-            <p>Let <var>filterInputChannels</var> be <var>filterShape</var>[2].</p>
-           <li data-md>
-            <p>Let <var>outputChannels</var> be <var>filterShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>filterHeight</var>, <var>filterWidth</var>, <var>filterInputChannels</var>, <var>outputChannels</var> » be <var>filterShape</var>.</p>
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlconv2dfilteroperandlayout-ohwi" id="ref-for-dom-mlconv2dfilteroperandlayout-ohwi②">"ohwi"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>outputChannels</var> be <var>filterShape</var>[0].</p>
-           <li data-md>
-            <p>Let <var>filterHeight</var> be <var>filterShape</var>[1].</p>
-           <li data-md>
-            <p>Let <var>filterWidth</var> be <var>filterShape</var>[2].</p>
-           <li data-md>
-            <p>Let <var>filterInputChannels</var> be <var>filterShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>outputChannels</var>, <var>filterHeight</var>, <var>filterWidth</var>, <var>filterInputChannels</var> » be <var>filterShape</var>.</p>
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlconv2dfilteroperandlayout-ihwo" id="ref-for-dom-mlconv2dfilteroperandlayout-ihwo②">"ihwo"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>filterInputChannels</var> be <var>filterShape</var>[0].</p>
-           <li data-md>
-            <p>Let <var>filterHeight</var> be <var>filterShape</var>[1].</p>
-           <li data-md>
-            <p>Let <var>filterWidth</var> be <var>filterShape</var>[2].</p>
-           <li data-md>
-            <p>Let <var>outputChannels</var> be <var>filterShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>filterInputChannels</var>, <var>filterHeight</var>, <var>filterWidth</var>, <var>outputChannels</var> » be <var>filterShape</var>.</p>
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlconv2dfilteroperandlayout-oihw" id="ref-for-dom-mlconv2dfilteroperandlayout-oihw②">"oihw"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>outputChannels</var> be <var>filterShape</var>[0].</p>
-           <li data-md>
-            <p>Let <var>filterInputChannels</var> be <var>filterShape</var>[1].</p>
-           <li data-md>
-            <p>Let <var>filterHeight</var> be <var>filterShape</var>[2].</p>
-           <li data-md>
-            <p>Let <var>filterWidth</var> be <var>filterShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>outputChannels</var>, <var>filterInputChannels</var>, <var>filterHeight</var>, <var>filterWidth</var> » be <var>filterShape</var>.</p>
         </dl>
        <li data-md>
         <p>If <var>inputChannels</var> % <var>options</var>.<code class="idl"><a data-link-type="idl" href="#dom-mlconv2doptions-groups" id="ref-for-dom-mlconv2doptions-groups③">groups</a></code> is not 0, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑤⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑤②">TypeError</a></code>.</p>
@@ -3545,28 +3491,10 @@ <h4 class="heading settled" data-level="7.7.11" id="api-mlgraphbuilder-convtrans
         <dl class="switch">
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlinputoperandlayout-nchw" id="ref-for-dom-mlinputoperandlayout-nchw⑦">"nchw"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>batches</var> be <var>inputShape</var>[0].</p>
-           <li data-md>
-            <p>Let <var>inputChannels</var> be <var>inputShape</var>[1].</p>
-           <li data-md>
-            <p>Let <var>inputHeight</var> be <var>inputShape</var>[2].</p>
-           <li data-md>
-            <p>Let <var>inputWidth</var> be <var>inputShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>batches</var>, <var>inputChannels</var>, <var>inputHeight</var>, <var>inputWidth</var> » be <var>inputShape</var>.</p>
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlinputoperandlayout-nhwc" id="ref-for-dom-mlinputoperandlayout-nhwc④">"nhwc"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>batches</var> be <var>inputShape</var>[0].</p>
-           <li data-md>
-            <p>Let <var>inputHeight</var> be <var>inputShape</var>[1].</p>
-           <li data-md>
-            <p>Let <var>inputWidth</var> be <var>inputShape</var>[2].</p>
-           <li data-md>
-            <p>Let <var>inputChannels</var> be <var>inputShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>batches</var>, <var>inputHeight</var>, <var>inputWidth</var>, <var>inputChannels</var> » be <var>inputShape</var>.</p>
         </dl>
        <li data-md>
         <p>Let <var>filterShape</var> be <var>filter</var>’s <a data-link-type="dfn" href="#mloperand-shape" id="ref-for-mloperand-shape②①">shape</a>.</p>
@@ -3575,40 +3503,13 @@ <h4 class="heading settled" data-level="7.7.11" id="api-mlgraphbuilder-convtrans
         <dl class="switch">
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2dfilteroperandlayout-iohw" id="ref-for-dom-mlconvtranspose2dfilteroperandlayout-iohw①">"iohw"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>filterInputChannels</var> be <var>filterShape</var>[0].</p>
-           <li data-md>
-            <p>Let <var>filterOutputChannels</var> be |filterShape[1].</p>
-           <li data-md>
-            <p>Let <var>filterHeight</var> be <var>filterShape</var>[2].</p>
-           <li data-md>
-            <p>Let <var>filterWidth</var> be <var>filterShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>filterInputChannels</var>, <var>filterOutputChannels</var>, <var>filterHeight</var>, <var>filterWidth</var> » be <var>filterShape</var>.</p>
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2dfilteroperandlayout-hwoi" id="ref-for-dom-mlconvtranspose2dfilteroperandlayout-hwoi①">"hwoi"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>filterHeight</var> be <var>filterShape</var>[0].</p>
-           <li data-md>
-            <p>Let <var>filterWidth</var> be <var>filterShape</var>[1].</p>
-           <li data-md>
-            <p>Let <var>filterOutputChannels</var> be |filterShape[2].</p>
-           <li data-md>
-            <p>Let <var>filterInputChannels</var> be <var>filterShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>filterHeight</var>, <var>filterWidth</var>, <var>filterOutputChannels</var>, <var>filterInputChannels</var> » be <var>filterShape</var>.</p>
          <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlconvtranspose2dfilteroperandlayout-ohwi" id="ref-for-dom-mlconvtranspose2dfilteroperandlayout-ohwi①">"ohwi"</a></code>
          <dd data-md>
-          <ol>
-           <li data-md>
-            <p>Let <var>filterOutputChannels</var> be |filterShape[0].</p>
-           <li data-md>
-            <p>Let <var>filterHeight</var> be <var>filterShape</var>[1].</p>
-           <li data-md>
-            <p>Let <var>filterWidth</var> be <var>filterShape</var>[2].</p>
-           <li data-md>
-            <p>Let <var>filterInputChannels</var> be <var>filterShape</var>[3].</p>
-          </ol>
+          <p>Let « <var>filterOutputChannels</var>, <var>filterHeight</var>, <var>filterWidth</var>, <var>filterInputChannels</var> » be <var>filterShape</var>.</p>
         </dl>
        <li data-md>
         <p>If <var>inputChannels</var> is not equal to <var>filterInputChannels</var>, then <a data-link-type="dfn" href="https://webidl.spec.whatwg.org/#dfn-throw" id="ref-for-dfn-throw⑦⑤">throw</a> a <code class="idl"><a data-link-type="idl" href="https://webidl.spec.whatwg.org/#exceptiondef-typeerror" id="ref-for-exceptiondef-typeerror⑦①">TypeError</a></code>.</p>
@@ -7377,46 +7278,20 @@ <h4 class="heading settled" data-level="7.7.32" id="api-mlgraphbuilder-pool2d"><
       <dl class="switch">
        <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlinputoperandlayout-nchw" id="ref-for-dom-mlinputoperandlayout-nchw①④">"nchw"</a></code>
        <dd data-md>
-        <ol>
-         <li data-md>
-          <p>Let <var>batches</var> be <var>inputShape</var>[0].</p>
-         <li data-md>
-          <p>Let <var>channels</var> be <var>inputShape</var>[1].</p>
-         <li data-md>
-          <p>Let <var>inputHeight</var> be <var>inputShape</var>[2].</p>
-         <li data-md>
-          <p>Let <var>inputWidth</var> be <var>inputShape</var>[3].</p>
-        </ol>
+        <p>Let « <var>batches</var>, <var>channels</var>, <var>inputHeight</var>, <var>inputWidth</var> » be <var>inputShape</var>.</p>
        <dt data-md><code class="idl"><a data-link-type="idl" href="#dom-mlinputoperandlayout-nhwc" id="ref-for-dom-mlinputoperandlayout-nhwc⑦">"nhwc"</a></code>
        <dd data-md>
-        <ol>
-         <li data-md>
-          <p>Let <var>batches</var> be <var>inputShape</var>[0].</p>
-         <li data-md>
-          <p>Let <var>inputHeight</var> be <var>inputShape</var>[1].</p>
-         <li data-md>
-          <p>Let <var>inputWidth</var> be <var>inputShape</var>[2].</p>
-         <li data-md>
-          <p>Let <var>channels</var> be <var>inputShape</var>[3].</p>
-        </ol>
+        <p>Let « <var>batches</var>, <var>inputHeight</var>, <var>inputWidth</var>, <var>channels</var> » be <var>inputShape</var>.</p>
       </dl>
      <li data-md>
-      <p>If <var>outputSizes</var> is not given, then:</p>
-      <ol>
-       <li data-md>
-        <p>Let <var>outputHeight</var> be <var>outputSizes</var>[0].</p>
-       <li data-md>
-        <p>Let <var>outputWidth</var> be <var>outputSizes</var>[1].</p>
-      </ol>
+      <p>If <var>outputSizes</var> is given, then let « <var>outputHeight</var>, <var>outputWidth</var> » be <var>outputSizes</var>.</p>
      <li data-md>
       <p>Otherwise:</p>
       <ol>
        <li data-md>
         <p>Let <var>outputSizes</var> be the result of <a data-link-type="dfn" href="#mlgraphbuilder-calculate-conv2d-output-sizes" id="ref-for-mlgraphbuilder-calculate-conv2d-output-sizes①">calculating conv2d output sizes</a> given <var>inputHeight</var>, <var>inputWidth</var>, <var>windowDimensions</var>[0], <var>windowDimensions</var>[1], <var>padding</var>, <var>strides</var>, and <var>dilations</var>.</p>
        <li data-md>
-        <p>Let <var>outputHeight</var> be <var>outputSizes</var>[0].</p>
-       <li data-md>
-        <p>Let <var>outputWidth</var> be <var>outputSizes</var>[1].</p>
+        <p>Let « <var>outputHeight</var>, <var>outputWidth</var> » be <var>outputSizes</var>.</p>
        <li data-md>
         <p>Switch on <var>roundingType</var>:</p>
         <dl class="switch">