From 08bc2aae7b3d8cf832e8fd3d7f33a771865f2f99 Mon Sep 17 00:00:00 2001 From: "Lai, Weijian" Date: Wed, 6 Mar 2024 12:07:01 +0000 Subject: [PATCH] delete gif image of modelarts umn 20240207 Reviewed-by: Pruthi, Vineet Co-authored-by: Lai, Weijian Co-committed-by: Lai, Weijian --- .../umn/en-us_image_0000001455265565.gif | Bin 210 -> 0 bytes .../umn/en-us_image_0000001791628038.png | Bin 0 -> 265 bytes docs/modelarts/umn/modelarts_23_0045.html | 2 +- 3 files changed, 1 insertion(+), 1 deletion(-) delete mode 100644 docs/modelarts/umn/en-us_image_0000001455265565.gif create mode 100644 docs/modelarts/umn/en-us_image_0000001791628038.png diff --git a/docs/modelarts/umn/en-us_image_0000001455265565.gif b/docs/modelarts/umn/en-us_image_0000001455265565.gif deleted file mode 100644 index 5d8b51613843dc6fe85dde029fdefded3026adfa..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 210 zcmZ?wbh9u|lw=TKC}&_${3jKhpH@GF=IunmJd|>QZnadtXh}zdS8J})Y&4hw!?m$ r4O0Z09$Z``QnUC$!$%{fsXjA4J4Bq)JJ#^EYNdw4oedQ-ObpfldWv6b diff --git a/docs/modelarts/umn/en-us_image_0000001791628038.png b/docs/modelarts/umn/en-us_image_0000001791628038.png new file mode 100644 index 0000000000000000000000000000000000000000..74a154b15bcab2ee5e2b89a136ced7736a2125bb GIT binary patch literal 265 zcmeAS@N?(olHy`uVBq!ia0vp^l0YoL!2~38TAcp?Db50q$YKTtZeb8+WSBKa0w}oK z)5S5wqBr@^|Nr*PQyGM}@<^F>Tcz!_u*ki1O8fqX*A;~Yx0aNe*9&J~+pfNS-MiU$ zHZfe@A#OeE_4L?1mH&0kx;M;PDsp$)%JVX&4Tf}{+A_2UH#I1zg73}7y0$KzPGrl zZP<3rnQ3{^o;1atIntroduction to Built-in Algorithms

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.

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.

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Viewing Built-in Algorithms

In the left navigation pane of the ModelArts management console, choose Training Management > Training Jobs. On the displayed page, click Built-in Algorithms. In the built-in algorithm list, click next to an algorithm name to view details about the algorithm.

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Viewing Built-in Algorithms

In the left navigation pane of the ModelArts management console, choose Training Management > Training Jobs. On the displayed page, click Built-in Algorithms. In the built-in algorithm list, click next to an algorithm name to view details about the algorithm.

You can click Create Training Job in the Operation column for an algorithm to quickly create a training job, for which this algorithm serves as the Algorithm Source.

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 Requirements on Datasets.