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Merge pull request #1396 from Esri/autodl_doc_fixes
Added Fix to AutoDL Guide
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guide/14-deep-learning/how_AutoDL_works.ipynb

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@@ -66,23 +66,22 @@
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"- RetinaNet\n",
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"- FasterRCNN\n",
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"- YOLOv3\n",
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"- MMDetection:\n",
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" - atss\n",
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" - carafe\n",
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" - cascade_rcnn\n",
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" - cascade_rpn\n",
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" - dcn\n",
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"- ATSS\n",
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"- CARAFE\n",
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"- CascadeRCNN\n",
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"- CascadeRPN\n",
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"- DCN\n",
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"\n",
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"**Pixel Classification**\n",
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"\n",
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"- DeepLab\n",
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"- UnetClassifier\n",
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"- PSPNetClassifier\n",
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" - ann\n",
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" - apcnet\n",
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" - ccnet\n",
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" - cgnet\n",
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" - deeplabv3\n"
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"- ANN\n",
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"- APCNet\n",
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"- CCNet\n",
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"- CGNet\n",
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"- HRNet\n"
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]
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},
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{
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" - _advanced_ : To be used when the user also wants to tune hyper parameters of the two best performing models from the basic mode.\n",
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" \n",
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"\n",
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"- `networks` (Optional Parameter):\n",
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" The list of models that will be used in the training process. If the user does not provide the parameter value, the `AutoDL` class selects all of the supported networks, however the user can select one or more networks by passing the network names in a list.\n",
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"- `network` (Optional Parameter):\n",
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" The list of models that will be used in the training process. If the user does not provide the parameter value, the `AutoDL` class selects all of the supported networks, however the user can select one or more networks by passing the network names as string in a list.\n",
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"\n",
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" - _Supported Object Detection models_\n",
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" - SingleShotDetector, RetinaNet, FasterRCNN, YOLOv3, MMDetection\n",
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" - SingleShotDetector, RetinaNet, FasterRCNN, YOLOv3, ATSS, CARAFE, CascadeRCNN, CascadeRPN, DCN\n",
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" - _Supported Object Detection models_\n",
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" - DeepLab, UnetClassifier, PSPNetClassifier, MMSegmentation\n",
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" - DeepLab, UnetClassifier, PSPNetClassifier, ANN, APCNet, CCNet, CGNet, HRNet\n",
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" \n",
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"\n",
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"- `verbose` (Optional Parameter): Optional Boolean.\n",
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.11"
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"version": "3.9.15"
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}
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},
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"nbformat": 4,

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