Merge branch 'master' of github.com:NASA-IMPACT/workshop_notebooks

NASA-IMPACT · Jun 3, 2021 · 394ffe5 · 394ffe5
2 parents 7651ce5 + 74da95a
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diff --git a/chapter-0/README.md b/chapter-0/README.md
@@ -3,8 +3,9 @@
 The AWS Cloud Development Kit (AWS CDK) is a framework that lets users define and provision AWS cloud resources using languages like Python, Java, etc.
 
 This module (chapter-0) familiarizes users with the AWS CDK by deploying a SageMaker instance using the AWS CDK.
+
 ## Step 1: Redeem your aws credits
-You will be provided aws credits required for running the services that are used in this course. Please reach out to instructors over slack for your personal credits code.
+You will be provided [AWS credits](https://aws.amazon.com/awscredits/) required for running the services that are used in this course. Please reach out to instructors over slack for your personal credits code.
 
 ## Step 2: Configure AWS command-line interface (CLI) on your machine
 
@@ -17,14 +18,16 @@ aws configure
 ```
 Provide access key ID, secret access key, and the region information (default: `us-east-1`) provided to you by the instructors.
 
-## Step 3: Install AWS CDK
+## Step 3: Install AWS
+
+First install [node + npm](https://nodejs.org/en/). 
 
-Install the AWS CDK Toolkit using npm.
+Then install the AWS CDK Toolkit using npm.
 ```
 npm install -g aws-cdk
 ```
 
-Install required Python 3.6+, pip, and virtualenv packages. Activate the virtualenv:
+Install required [Python 3.6+](https://www.python.org/downloads/) and [virtualenv packages](https://virtualenv.pypa.io/en/latest/installation.html#via-pip). Activate the virtualenv:
 ```
 cd chapter-0/
 python3 -m ensurepip --upgrade

diff --git a/chapter-3/src/requirements.txt b/chapter-3/src/requirements.txt
@@ -8,5 +8,5 @@ pandas
 rasterio
 requests
 sklearn
-tensorflow==2.4.1
+tensorflow==2.4.3
 tensorboard<2.5
diff --git a/chapter-4/model_deployment_and_test.ipynb b/chapter-4/model_deployment_and_test.ipynb
@@ -65,7 +65,7 @@
  "source": [
  "# Refer to Chapter-3 checkpoints or select from your S3 bucket.\n",
  "model_location = f\"{BUCKET_NAME}/tensorflow-training-2021-05-05-10-10-34-979/output/model.tar.gz\"\n",
- "framework_version = '2.4.1'\n",
+ "framework_version = '2.4.3'\n",
  "\n",
  "model = TensorFlowModel(\n",
  " framework_version=framework_version, \n",
@@ -201,4 +201,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}