diff --git a/index.bs b/index.bs
index 10d1599b..77628745 100644
--- a/index.bs
+++ b/index.bs
@@ -695,23 +695,128 @@ For instance, an {{MLOperand}} may represent a constant feeding to an operation
interface MLOperand {};
-See also [[#security-new-ops]]
+{{MLOperand}} has the following internal slots:
+
+ : \[[builder]] of type {{MLGraphBuilder}}
+ ::
+ The {{MLOperand}}'s associated builder object.
+
+ : \[[descriptor]] of type {{MLOperandDescriptor}}
+ ::
+ The {{MLOperand}}'s descriptor.
+
+ : \[[name]] of type [=string=]
+ ::
+ The {{MLOperand}}'s name (only for input operands).
+
+ : \[[operand]] of type [=object=]
+ ::
+ Reference to {{MLOperand}}'s corresponding [=implementation-defined=] platform operand object.
+
+ : \[[operator]] of type [=object=]
+ ::
+ Reference to {{MLOperand}}'s corresponding [=implementation-defined=] platform operator object.
+
+
+
+ The rank of an {{MLOperand}} |operand| is the value returned by the following steps:
+ 1. Return the size of |operand|.{{MLOperand/[[descriptor]]}}.{{MLOperandDescriptor/dimensions}}.
+
+
+Since the {{MLOperand/[[builder]]}} object is bound by the {{MLGraphBuilder/constructor()}} constructor to an {{MLContext}} object, an {{MLOperand}} is also always bound to the same {{MLContext}} object.
+
+#### Creating {{MLOperand}} #### {#api-mloperand-create}
+The {{MLOperand}} objects are created by the methods of {{MLGraphBuilder}}, internally using the following algorithms.
+
+To create MLOperand given |builder| and |desc|, run the following steps:
+
+ 1. If |builder| is not an instance of {{MLGraphBuilder}}, then throw a "{{TypeError}}" {{DOMException}} and stop.
+ 1. If |desc| is not an [=object=] that [=implements=] {{MLOperandDescriptor}}, then throw a "{{TypeError}}" {{DOMException}} and stop.
+ 1. Let |operand| be a new [=object=].
+ 1. Set |operand|.{{MLOperand/[[builder]]}} to |builder|.
+ 1. Set |operand|.{{MLOperand/[[descriptor]]}} to |desc|.
+ 1. Return |operand|.
+
+
+To copy MLOperand given |operand|, run the following steps:
+
+ 1. If |operand| is not an instance of {{MLOperand}}, then throw a "{{TypeError}}" and stop.
+ 1. Let |result| be a new [=object=].
+ 1. Set |result|.{{MLOperand/[[builder]]}} to |operand|.{{MLOperand/[[builder]]}}.
+ 1. Set |result|.{{MLOperand/[[descriptor]]}} to |operand|.{{MLOperand/[[descriptor]]}}.
+ 1. Set |result|.{{MLOperand/[[name]]}} to |operand|.{{MLOperand/[[name]]}}.
+ 1. Return |result|.
+
+
+To check dimensions given |dimensions| and |type|, run the following steps:
+
+ 1. If |dimensions| is not an array of positive numbers, return `false`;
+ 1. If |dimensions|.length is 0, return `false`.
+ 1. If |dimensions|.length is too large to be supported by the implementation, return `false`.
+ 1. If any element of |dimensions| is not a positive number, or it is too large to be supported by the implementation given |type|, return `false`.
+ 1. Return `true`.
+
+
+To validate MLOperand given |operand| and |builder|, run the following steps:
+
+ 1. If |operand|.{{MLOperand/[[builder]]}} is not an instance of {{MLGraphBuilder}}, return `false`.
+ 1. If |builder| is not `undefined` and is not equal to |operand|.{{MLOperand/[[builder]]}}, return `false`.
+ 1. Let |desc| be |operand|.{{MLOperand/[[descriptor]]}}.
+ 1. If |desc| is not an [=object=] that [=implements=] {{MLOperandDescriptor}}, return `false`.
+ 1. If |desc|.{{MLOperandDescriptor/dimensions}} [=map/exists=] and invoking
check dimensions given |desc|.{{MLOperandDescriptor/dimensions}} and |desc|.{{MLOperandDescriptor/type}} returns `false`, then return `false`.
+ 1. Return `true`.
+
+These activations function types are used to create other operations. One such use of this interface is for when an activation function is fused into another operation such as [[#api-mlgraphbuilder-conv2d]] or [[#api-mlgraphbuilder-batchnorm]] during a graph construction session. Such fused activation functions can provide a significant performance improvement when supported natively by the underlying implementation. This is intended as an optimization opportunity for implementers.
+
+
+{{MLActivation}} has the following internal slots:
+
+ : \[[name]] of type [=string=]
+ ::
+ The {{MLActivation}}'s name.
+ : \[[builder]] of type {{MLGraphBuilder}}
+ ::
+ The graph builder object this {{MLActivation}} belongs to.
+ : \[[options]] of type [=object=]
+ ::
+ A dictionary containing {{MLActivation}} options.
+ : \[[operator]] of type [=object=]
+ ::
+ Reference to {{MLActivation}}'s corresponding [=implementation-defined=] platform operator object.
+
+
-These activations function types are used to create other operations. One such use of this interface is for when an activation function is fused into another operation such as [[#api-mlgraphbuilder-conv2d]] or [[#api-mlgraphbuilder-batchnorm]] during a graph construction session. Such fused activation functions can provide a significant performance improvement when supported natively by the underlying implementation. This is intended as an optimization opportunity for implementers.
+ The implementation of the {{MLActivation}} interface can simply be a struct that holds a string type of the activation function along with other properties needed. The actual creation of the activation function e.g. a [[#api-mlgraphbuilder-sigmoid]] or [[#api-mlgraphbuilder-relu]] can then be deferred until when the rest of the graph is ready to connect with it such as during the construction of [[#api-mlgraphbuilder-conv2d]] for example.
+#### Creating {{MLActivation}} #### {#api-mlactivation-create}
-The implementation of the {{MLActivation}} interface can simply be a struct that holds a string type of the activation function along with other properties needed. The actual creation of the activation function e.g. a [[#api-mlgraphbuilder-sigmoid]] or [[#api-mlgraphbuilder-relu]] can then be deferred until when the rest of the graph is ready to connect with it such as during the construction of [[#api-mlgraphbuilder-conv2d]] for example.
+The {{MLActivation}} objects (including the ones passed as input to methods) are created by the methods of {{MLGraphBuilder}} and are identified by their name. The |options| dictionary is defined by those methods.
+
+
+To create MLActivation given |builder|, |name| and |options|, run the following steps:
+
+ 1. If |builder| is not an instance of {{MLGraphBuilder}}, throw a "{{TypeError}}" and abort these steps.
+ 1. If |name| is `undefined` or `null`, throw a "{{TypeError}}" and abort these steps.
+ 1. Let |activation| be a new [=object=].
+ 1. Set |activation|.{{MLActivation/[[builder]]}} to |builder|.
+ 1. Set |activation|.{{MLActivation/[[name]]}} to |name|.
+ 1. If |options| is an [=object=], set |activation|.{{MLActivation/[[options]]}} to |options|.
+ 1. Make a request to the underlying platform to bind the [=implementation-defined=] platform operator for |name| to |activation|.{{MLActivation/[[operator]]}}.
+ 1. If that fails, throw a "{{TypeError}}" and abort these steps.
+ 1. Return |activation|.
## The MLContext interface ## {#api-mlcontext}
@@ -1149,7 +1254,6 @@ The [=new=] {{MLGraphBuilder}} constructor steps are:
1. If [=this=]'s [=relevant global object=]'s [=associated Document=] is not [=allowed to use=] the [=webnn-feature|webnn=] feature, throw a "{{SecurityError}}" {{DOMException}} and abort these steps.
1. Let |context| be the first argument.
1. If the validate MLContext steps given |context| return `false`, throw a "{{TypeError}}" and abort these steps.
-
1. Set {{MLGraphBuilder/[[context]]}} to |context|.
### The batchNormalization() method ### {#api-mlgraphbuilder-batchnorm}