74 lines
2.0 KiB
HTML
74 lines
2.0 KiB
HTML
<!--
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Copyright 2018 Google LLC. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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==============================================================================
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-->
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<html>
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1">
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<link rel="stylesheet" href="../shared/tfjs-examples.css" />
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</head>
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<body>
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<style>
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#content {
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padding: 15px;
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}
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img {
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width: 400px;
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}
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canvas {
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width: 400px;
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}
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</style>
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<div id="content">
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</div>
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<div class='tfjs-example-container centered-container'>
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<section class='title-area'>
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<h1>TensorFlow.js: Working with Custom Layers</h1>
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<p class='subtitle'>Demonstrates the application of a custom layer.</p>
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</section>
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<section>
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<p class='section-head'>Description</p>
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<p>
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This example demonstrates how to write a custom layer for tfjs-layers.
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We build a custom activation layer called 'Antirectifier' which outputs two
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channels for each input, one with just the positive signal, and one with just
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the negative signal. The example shows exercises the <code>call</code> and
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<code>computeOutputShape</code> overrides of the <code>Layer</code>.
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</p>
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</section>
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<section>
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<p class='section-head'>Input</p>
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<img id="cat" src="cat.jpg" />
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<p class='section-head'>Output</p>
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<div id="output_image_1"></div>
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<div id="output_image_2"></div>
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</section>
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</div>
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<script type="module" src="index.js"></script>
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</body>
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</html>
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