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Clarify Scope
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Move examples of well-known model architectures from the bullet
list into the text section that talks about priority use cases.
Add transformers as another example.

Grammar fix: s/Allow/Allows

Fix #23
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anssiko committed Jan 9, 2023
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Showing 1 changed file with 10 additions and 9 deletions.
19 changes: 10 additions & 9 deletions charter.html
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Expand Up @@ -208,24 +208,25 @@ <h2>
This Web API for neural network inference hardware acceleration:
</p>
<ul>
<li>Allow to construct a neural network computational graph by common
building blocks, including constant values and base operations such
as convolution, pooling, softmax, normalization, fully connected,
activation, recurrent neural network (RNN) and long short-term memory
(LSTM);
<li>Allows to construct a neural network computational graph by common
building blocks required by well-known model architectures: constant
values and base operations such as convolution, pooling, softmax,
normalization, fully connected, and activation;
</li>
<li>Allow to compile the neural network to native optimized format
<li>Allows to compile the neural network to native optimized format
for hardware execution;
</li>
<li>Allow to setup input from various sources on the Web, e.g. array
<li>Allows to setup input from various sources on the Web, e.g. array
buffers, media streams, schedule the asynchronous hardware execution,
and retrieve the output when hardware execution completes.
</li>
</ul>
<p>
This Working Group puts priority on building blocks required by
well-known model architectures in the fields of Computer Vision,
Natural Language Processing and Speech Recognition.
well-known model architectures such as recurrent neural network
(RNN), long short-term memory (LSTM) and transformers in the fields
of Computer Vision, Natural Language Processing and Speech
Recognition.
</p>
<p>
The APIs in scope of this group will not be tied to any particular
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