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Reviewed-by: Pruthi, Vineet <vineet.pruthi@t-systems.com>
Co-authored-by: Lai, Weijian <laiweijian4@huawei.com>
Co-committed-by: Lai, Weijian <laiweijian4@huawei.com>
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Lai, Weijian 2024-03-06 12:07:01 +00:00 committed by zuul
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<h1 class="topictitle1">Introduction to Built-in Algorithms</h1>
<div id="body8662426"><p id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_p1561828121118">Based on the frequently-used AI engines in the industry, ModelArts provides built-in algorithms to meet a wide range of your requirements. You can directly select the algorithms for training jobs, without concerning model development.</p>
<p id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_p1958314434111">Built-in algorithms of ModelArts adopt MXNet and TensorFlow engines and are mainly used for detection of object classes and locations, image classification, and semantic image segmentation.</p>
<div class="section" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_section8997175715183"><h4 class="sectiontitle">Viewing Built-in Algorithms</h4><p id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_p73211814161919">In the left navigation pane of the ModelArts management console, choose <span class="parmname" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_parmname49071626135815"><b>Training Management</b></span> &gt; <span class="parmname" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_parmname47166195202"><b>Training Jobs</b></span>. On the displayed page, click <span class="wintitle" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_wintitle718117221206"><b>Built-in Algorithms</b></span>. In the built-in algorithm list, click <span><img id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_image82125491920" src="en-us_image_0000001455265565.gif"></span> next to an algorithm name to view details about the algorithm.</p>
<div class="section" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_section8997175715183"><h4 class="sectiontitle">Viewing Built-in Algorithms</h4><p id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_p73211814161919">In the left navigation pane of the ModelArts management console, choose <span class="parmname" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_parmname49071626135815"><b>Training Management</b></span> &gt; <span class="parmname" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_parmname47166195202"><b>Training Jobs</b></span>. On the displayed page, click <span class="wintitle" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_wintitle718117221206"><b>Built-in Algorithms</b></span>. In the built-in algorithm list, click <span><img id="modelarts_23_0045__image7472612464" src="en-us_image_0000001791628038.png"></span> next to an algorithm name to view details about the algorithm.</p>
<p id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_p10395135515217">You can click <span class="uicontrol" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_uicontrol0869154613223"><b>Create Training Job</b></span> in the <span class="parmname" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_parmname1652224313220"><b>Operation</b></span> column for an algorithm to quickly create a training job, for which this algorithm serves as the <span class="parmname" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_parmname9698175113221"><b>Algorithm Source</b></span>.</p>
<div class="note" id="modelarts_23_0045__en-us_topic_0259701752_en-us_topic_0133017584_note13583103310562"><img src="public_sys-resources/note_3.0-en-us.png"><span class="notetitle"> </span><div class="notebody"><p id="modelarts_23_0045__en-us_topic_0259701752_p151521113175">Before using a built-in algorithm to create a training job, prepare and upload training data to OBS. For details about the data storage path and data format requirements, see <a href="modelarts_23_0157.html">Requirements on Datasets</a>.</p>
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