Merge branch 'main' into autoreview_15

notebooks/official/automl/sdk_automl_image_object_detection_batch.ipynb

@@ -74,7 +74,7 @@
       "source": [
         "### Objective\n",
         "\n",
-        "In this tutorial, you create an AutoML image object detection model from a Python script, and then do a batch prediction using the Vertex AI SDK. You can alternatively create and deploy models using the `gcloud` command-line tool or online using the Cloud Console.\n",
+        "In this tutorial, you learn how to create an AutoML image object detection model from a Python script, and then do a batch prediction using the Vertex AI SDK. You can alternatively create and deploy models using the `gcloud` command-line tool or online using the Cloud Console.\n",
         "\n",
         "The steps performed include:\n",
         "\n",

notebooks/official/automl/sdk_automl_text_sentiment_analysis_online.ipynb

@@ -44,7 +44,7 @@
         "    </a>\n",
         "  </td>\n",
         "  <td>\n",
-        "    <a href=\"https://console.cloud.google.com/ai/platform/notebooks/deploy-notebook?download_url=https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/automl/sdk_automl_text_sentiment_analysis_online.ipynb\">\n",
+        "    <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/automl/sdk_automl_text_sentiment_analysis_online.ipynb\">\n",
         "      Open in Vertex AI Workbench\n",
         "    </a>\n",
         "  </td>\n",

notebooks/official/automl/sdk_automl_video_action_recognition_batch.ipynb

@@ -44,7 +44,7 @@
         "    </a>\n",
         "  </td>\n",
         "  <td>\n",
-        "    <a href=\"https://console.cloud.google.com/ai/platform/notebooks/deploy-notebook?download_url=https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/automl/sdk_automl_video_action_recognition_batch.ipynb\">\n",
+        "    <a href=\"https://console.cloud.google.com/vertex-ai/workbench/deploy-notebook?download_url=https://github.com/GoogleCloudPlatform/vertex-ai-samples/blob/main/notebooks/official/automl/sdk_automl_video_action_recognition_batch.ipynb\">\n",
         "      Open in Vertex AI Workbench\n",
         "    </a>\n",
         "  </td>\n",

notebooks/official/automl/sdk_automl_video_classification_batch.ipynb

@@ -3,7 +3,6 @@
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@@ -26,7 +25,6 @@
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@@ -57,7 +55,6 @@
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-      "id": "42cfbec0",
       "metadata": {
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@@ -70,14 +67,13 @@
     },
     {
       "cell_type": "markdown",
-      "id": "90b9b726",
       "metadata": {
         "id": "objective:automl,training,batch_prediction"
       },
       "source": [
         "### Objective\n",
         "\n",
-        "In this tutorial, you create an AutoML video classification model from a Python script, and then do a batch prediction using the Vertex AI SDK. You can alternatively create and deploy models using the `gcloud` command-line tool or online using the Cloud Console.\n",
+        "In this tutorial, you learn how to create an AutoML video classification model from a Python script, and then do a batch prediction using the Vertex AI SDK. You can alternatively create and deploy models using the `gcloud` command-line tool or online using the Cloud Console.\n",
         "\n",
         "This tutorial uses the following Google Cloud ML services and resources:\n",
         "\n",
@@ -101,7 +97,6 @@
     },
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@@ -113,7 +108,6 @@
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@@ -134,7 +128,6 @@
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@@ -147,7 +140,6 @@
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@@ -185,7 +177,6 @@
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@@ -198,7 +189,6 @@
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@@ -223,7 +213,6 @@
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@@ -236,7 +225,6 @@
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@@ -254,7 +242,6 @@
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@@ -285,7 +272,6 @@
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@@ -298,7 +284,6 @@
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@@ -310,7 +295,6 @@
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@@ -326,7 +310,6 @@
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@@ -337,7 +320,6 @@
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@@ -359,7 +341,6 @@
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@@ -373,7 +354,6 @@
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@@ -386,7 +366,6 @@
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@@ -406,7 +385,6 @@
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@@ -419,7 +397,6 @@
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@@ -451,7 +428,6 @@
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@@ -484,7 +460,6 @@
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@@ -502,7 +477,6 @@
     {
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-      "id": "be69ad8c",
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@@ -515,7 +489,6 @@
     {
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-      "id": "2d0d674c",
       "metadata": {
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@@ -528,7 +501,6 @@
     },
     {
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-      "id": "9307a615",
       "metadata": {
         "id": "create_bucket"
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@@ -539,7 +511,6 @@
     {
       "cell_type": "code",
       "execution_count": null,
-      "id": "709e7b95",
       "metadata": {
         "id": "create_bucket"
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@@ -550,7 +521,6 @@
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-      "id": "b52bb2e6",
       "metadata": {
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@@ -561,7 +531,6 @@
     {
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-      "id": "e86c8b22",
       "metadata": {
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@@ -572,7 +541,6 @@
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@@ -583,7 +551,6 @@
     {
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       "execution_count": 13,
-      "id": "7534d1a5",
       "metadata": {
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@@ -594,7 +561,6 @@
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@@ -607,7 +573,6 @@
     {
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-      "id": "9df9b0b9",
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@@ -618,7 +583,6 @@
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-      "id": "866ae45f",
       "metadata": {
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@@ -630,7 +594,6 @@
     },
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       "metadata": {
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@@ -643,7 +606,6 @@
     {
       "cell_type": "code",
       "execution_count": null,
-      "id": "ab42c2d4",
       "metadata": {
         "id": "import_file:hmdb,csv,vcn"
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@@ -654,7 +616,6 @@
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-      "id": "2f7757ea",
       "metadata": {
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@@ -669,7 +630,6 @@
     {
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-      "id": "ea7bac53",
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@@ -684,7 +644,6 @@
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       "metadata": {
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@@ -702,7 +661,6 @@
     {
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-      "id": "9c55581d",
       "metadata": {
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@@ -719,7 +677,6 @@
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-      "id": "26f09f81",
       "metadata": {
         "id": "create_automl_pipeline:video,vcn"
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@@ -742,7 +699,6 @@
     {
       "cell_type": "code",
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-      "id": "9f35d88f",
       "metadata": {
         "id": "create_automl_pipeline:video,vcn"
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@@ -758,7 +714,6 @@
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-      "id": "6bbaaf5f",
       "metadata": {
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@@ -780,7 +735,6 @@
     {
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-      "id": "4b3f2c56",
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@@ -796,7 +750,6 @@
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@@ -812,7 +765,6 @@
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@@ -835,7 +787,6 @@
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@@ -847,7 +798,6 @@
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@@ -860,7 +810,6 @@
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-      "id": "bae97d10",
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@@ -882,7 +831,6 @@
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@@ -900,7 +848,6 @@
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@@ -936,7 +883,6 @@
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@@ -948,7 +894,6 @@
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@@ -959,7 +904,6 @@
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@@ -977,7 +921,6 @@
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@@ -995,7 +938,6 @@
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@@ -1008,7 +950,6 @@
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@@ -1019,7 +960,6 @@
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@@ -1042,7 +982,6 @@
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@@ -1066,7 +1005,6 @@
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@@ -1088,7 +1026,6 @@
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