Fix link(s) to be descriptive

aws · Aug 18, 2022 · 48926a5 · 48926a5
1 parent 07cb67f
commit 48926a5
Showing 1 changed file with 29 additions and 29 deletions.
diff --git a/sagemaker-triton/TensorFlow/Deploy-TensorFlow-Model-Using-NVIDIA-Triton.ipynb b/sagemaker-triton/TensorFlow/Deploy-TensorFlow-Model-Using-NVIDIA-Triton.ipynb
@@ -2,15 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "e4df5204",
+   "id": "1859d714",
    "metadata": {},
    "source": [
     "# Deploy a TensorFlow Model using NVIDIA Triton on SageMaker"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "a263f99b",
+   "id": "b1a0793a",
    "metadata": {},
    "source": [
     "Amazon SageMaker is a fully managed service for data science and machine learning workflows. It helps data scientists and developers to prepare, build, train, and deploy high-quality ML models quickly by bringing together a broad set of capabilities purpose-built for ML.\n",
@@ -19,7 +19,7 @@
     "\n",
     "This example will showcase how to deploy a pre-trained TensorFlow model using NVIDIA Triton on SageMaker.\n",
     "\n",
-    "The model used here was pre-trained on the MNIST dataset. See this [example](https://github.com/aws/amazon-sagemaker-examples/blob/1c5da8941bc933b176b56a93157073d5645d8cdf/frameworks/tensorflow/get_started_mnist_deploy.ipynb) for the training of the model. \n",
+    "The model used here was pre-trained on the MNIST dataset. See this [Deploy a Trained TensorFlow V2 Model example](https://github.com/aws/amazon-sagemaker-examples/blob/1c5da8941bc933b176b56a93157073d5645d8cdf/frameworks/tensorflow/get_started_mnist_deploy.ipynb) for the training of the model. \n",
     "\n",
     "## Contents\n",
     "1. [Introduction to NVIDIA Triton Server](#Introduction-to-NVIDIA-Triton-Server)\n",
@@ -34,7 +34,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "31e1faa2",
+   "id": "e7d2e466",
    "metadata": {},
    "source": [
     "## Introduction to NVIDIA Triton Server\n",
@@ -55,7 +55,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "26eeade9",
+   "id": "2fa754e0",
    "metadata": {},
    "source": [
     "## Set up the environment\n",
@@ -67,7 +67,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a3803a4b",
+   "id": "c1aa51f9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -83,7 +83,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b0585270",
+   "id": "a32fe1a0",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -97,7 +97,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0d337a66",
+   "id": "82622acd",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -130,7 +130,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "c71f49a1",
+   "id": "c0dcfd1b",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -141,7 +141,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "916daad1",
+   "id": "00c40a8f",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -156,7 +156,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "cddaef96",
+   "id": "64e22b00",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -165,7 +165,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0244771b",
+   "id": "89e59ca9",
    "metadata": {},
    "source": [
     "## Transform TensorFlow Model structure\n",
@@ -200,7 +200,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "24f277d4",
+   "id": "778ab1e0",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -210,7 +210,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "782a1ffa",
+   "id": "6d38afaa",
    "metadata": {},
    "source": [
     "### Inspect the model using the `saved_model_cli`\n",
@@ -222,7 +222,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e7658452",
+   "id": "d51da13c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -231,7 +231,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "f86cf399",
+   "id": "15a49176",
    "metadata": {},
    "source": [
     "### Create the config.pbtxt \n",
@@ -244,7 +244,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bb769e57",
+   "id": "6d56e6de",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -281,7 +281,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "f62b2c6c",
+   "id": "c9df88fb",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -290,7 +290,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "85594834",
+   "id": "3e9b5804",
    "metadata": {},
    "source": [
     "### Create the tar ball in the required Triton structure"
@@ -299,7 +299,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "706058b9",
+   "id": "7a1a9831",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -310,7 +310,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "a6f18435",
+   "id": "1ea93395",
    "metadata": {},
    "source": [
     "### Upload the new tar ball containing the Triton model structure to s3"
@@ -319,7 +319,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6fab3787",
+   "id": "be8aa2c4",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -328,7 +328,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e3211424",
+   "id": "b3fa0b9f",
    "metadata": {},
    "source": [
     "## Deploy model to SageMaker Endpoint\n",
@@ -342,7 +342,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a83ca640",
+   "id": "ee0343e2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -359,7 +359,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4a452e78",
+   "id": "140953d2",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -373,7 +373,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6af73bb6",
+   "id": "7aed56c0",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -387,7 +387,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d7ab780f",
+   "id": "ef015724",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -419,7 +419,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0c4e881c",
+   "id": "35b7811c",
    "metadata": {},
    "source": [
     "## Clean up\n",
@@ -429,7 +429,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "74556045",
+   "id": "43ea08f5",
    "metadata": {},
    "outputs": [],
    "source": [