Build an AWS Machine Learning Pipeline for Object DetectioN

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5.94 GB | 6min 50s | mov | 2874X1800 | 1.597:1
Genre:eLearning |Language:English

Files Included :
01 Let's look at our End Project.mp4 (16.96 MB)
02 Setting up IAM User.mp4 (11.11 MB)
03 Clarification about AWS S3.mp4 (3.66 MB)
04 Getting Data for our Project.mp4 (47.45 MB)
05 Getting dataset Part 1.mp4 (47.47 MB)
06 Getting dataset Part 2.mp4 (41.98 MB)
07 Getting dataset Part 3.mp4 (11.06 MB)
08 Getting dataset Part 4.mp4 (2.3 MB)
01 Create SageMaker Domain.mp4 (14.47 MB)
02 Create SageMaker Studio Notebook.mp4 (3.78 MB)
03 Sagemaker Notebook Updates.mp4 (45.84 MB)
04 Learning how to Stop and Start SageMaker Notebooks.mp4 (25.94 MB)
05 Restarting our SageMaker Studio Notebook Kernel.mp4 (3.08 MB)
06 Upload and Extract Data in SageMaker.mp4 (28.78 MB)
07 Deleting Unused Files.mp4 (5.07 MB)
01 Loading and Understanding our Data.mp4 (45.65 MB)
02 Counting total Images and getting Image ids.mp4 (85.57 MB)
03 Getting Classname Identifier.mp4 (37.44 MB)
04 Looking at Random Samples from our Dataframe.mp4 (68.1 MB)
05 Understanding Annotations.mp4 (62.56 MB)
06 Visualize Random Images Part 1.mp4 (56.12 MB)
07 Visualise Random Images Part 2.mp4 (10.41 MB)
09 Visualising Multiples Images at Once.mp4 (112.28 MB)
11 Visualising Bounding Boxes Part 1.mp4 (27.23 MB)
12 Visualising Bounding Boxes Part 2 (Theory Lesson).mp4 (116.27 MB)
13 Visualising Random Images with Bounding Boxes Part 1.mp4 (106.5 MB)
15 Visualising Random Images with Bounding Boxes Part 2.mp4 (45.01 MB)
01 Clean our Train and Validation Dataframes.mp4 (52.12 MB)
02 Split Dataframe into Test and Train.mp4 (38.25 MB)
03 Get Images IDs.mp4 (90.31 MB)
04 Splitting IDs Theory Lesson.mp4 (81.66 MB)
06 Moving Images to Appropriate Folders.mp4 (38.25 MB)
07 Count how many Train and Test Images we have.mp4 (17.69 MB)
08 Verifying that our Images have been moved Properly Part 1.mp4 (87.04 MB)
09 Verifying that our Images have been moved Properly Part 2.mp4 (25.91 MB)
01 Using Mxnet.mp4 (48.66 MB)
03 Using Mxnet RecordIO.mp4 (93.83 MB)
05 Preparing Dataframes to RecordIO format Part 1.mp4 (93.81 MB)
06 Preparing Dataframes to RecordIO format Part 2.mp4 (53.81 MB)
07 Moving Images To Correct Directory.mp4 (12.37 MB)
09 Verifying that all Images have been Moved Properly.mp4 (25.8 MB)
11 Creating Production lst files (Optional).mp4 (210.1 MB)
06 37-Getting-df-into-correct-format-part2.mov (303.88 MB)
01 Data Augmentation Theory.mp4 (80.83 MB)
02 Augmenting a Random Image.mp4 (75.81 MB)
03 Moving Images to new Folder structure.mp4 (49.13 MB)
04 Visualising Random Augmented Images Part 1.mp4 (123.07 MB)
05 Visualising Random Augmented Images Part 2.mp4 (114.59 MB)
07 Creating Data Augmentation Function Part 1.mp4 (104.88 MB)
08 Creating Data Augmentation Function Part 2.mp4 (119.05 MB)
09 Checking Image Counts Before running the Function.mp4 (8.14 MB)
10 Correctional Video regarding our Function.mp4 (11.54 MB)
11 Augmenting Test Dataset and Creating test lst Files.mp4 (71.6 MB)
12 Augmenting Train Dataset and Creating lst File Part 1.mp4 (47.72 MB)
13 Augmenting Train Dataset and Creating lst File Part 2.mp4 (3.14 MB)
14 Verifying that Data Augmentation has Worked.mp4 (59.65 MB)
01 Increasing Service Quotas.mp4 (20.54 MB)
02 Installing dependencies and Packages.mp4 (47.26 MB)
03 Creating our RecordIO Files.mp4 (71.06 MB)
04 Uploading our RecordIO data to our S3 bucket.mp4 (74.8 MB)
05 Downloading Object Detection Algorithm from AWS ECR.mp4 (17.7 MB)
06 Setting up our Estimator Object.mp4 (20.37 MB)
07 Setting up Hyperparameters.mp4 (104.91 MB)
09 Setting up Hyperparameter Ranges.mp4 (31.96 MB)
10 Setting up Hyperparameter Tuner.mp4 (46.74 MB)
12 Starting the Training Job Part 1.mp4 (58.36 MB)
13 Starting the Training Job Part 2.mp4 (148.25 MB)
15 Monitoring the Training Job.mp4 (26.68 MB)
16 Looking at our Finished Hyperparameter Tuning Job.mp4 (58.37 MB)
01 Deploying our Model in a Notebook.mp4 (37.68 MB)
02 Creating Visualization Function for Inferences.mp4 (69.99 MB)
03 Testing our Endpoint Part 1.mp4 (20.64 MB)
04 Testing out Endpoint Part 2.mp4 (20.78 MB)
05 Testing our Endpoint from Random Images from the Internet.mp4 (51.06 MB)
01 Setting up Batch Transformation Job locally first.mp4 (98.98 MB)
02 Starting our Batch Transformation Job.mp4 (55.84 MB)
03 Analysing our Batch Transformation Job.mp4 (62.72 MB)
04 Visualising Batch Transformation Results.mp4 (124.03 MB)
02 Setting up AWS Step Function.mp4 (81.51 MB)
03 Verify that CloudFormation has worked.mp4 (10.1 MB)
04 Configure Batch Transform Lambda Part 1.mp4 (56.51 MB)
05 Configure Batch Transform Lambda Part 2.mp4 (52.79 MB)
06 Create Check Batch Transform Job Lambda.mp4 (34.57 MB)
07 Fixing typos and Syntax Erros.mp4 (29.31 MB)
08 JSON output Format.mp4 (8.26 MB)
09 Creating Cleaning Batch output Lambda Function Part 1.mp4 (50.83 MB)
10 Creating Cleaning Batch output Lambda Function Part 2.mp4 (99.89 MB)
11 Configuring our Step Function Part 1.mp4 (46.12 MB)
12 Configuring our Step Function Part 2.mp4 (45.54 MB)
13 Configuring our Step Function Part 3.mp4 (35.91 MB)
14 Upload Test Data to S3.mp4 (11.18 MB)
15 Testing our Step Function.mp4 (12.49 MB)
16 Fixing Errors.mp4 (20.53 MB)
17 Testing our Step Function with the Corrections.mp4 (6.09 MB)
18 Verifying that our Step Function Ran Successfully.mp4 (11.11 MB)
19 Donwloading our JSON file from S3.mp4 (4.96 MB)
20 Using Event Bridge to set up Cron Job for our Machine Learning Pipeline.mp4 (53.25 MB)
21 Verify that the Cron Job works.mp4 (5.32 MB)
22 Verifying that our Pipeline Ran Successfully.mp4 (22.05 MB)
23 Setting up Production Notebook.mp4 (4.01 MB)
24 Extending Our Machine Learning Pipeline.mp4 (18.61 MB)
25 Coding our Process Job Notebook Part 1.mp4 (44.17 MB)
26 Coding our Process Job Notebook Part 2.mp4 (58 MB)
27 Coding our Process Job Notebook Part 3.mp4 (72.27 MB)
28 Coding our Process Job Notebook Part 4.mp4 (103.59 MB)
30 Productionizing our Notebook Part 1.mp4 (91.84 MB)
31 Productionizing our Notebook Part 2.mp4 (90.56 MB)
32 Verify that the Entire Machine Learning Pipeline works.mp4 (30.68 MB)
33 Deleted Unused items from Sagemaker EFS.mp4 (21.99 MB)
01 Clone the Web Application from Github.mp4 (4.75 MB)
02 Setup MongoDB.mp4 (21.11 MB)
03 Connect to MongoDB and get AWS Credentials.mp4 (25.86 MB)
04 Configuring Env file.mp4 (3.46 MB)
05 Install Node modules.mp4 (4.35 MB)
06 MERN app Walkthrough Part 1.mp4 (85.82 MB)
07 MERN app Walkthrough Part 2.mp4 (32.55 MB)
08 MERN app Walkthrough Part 3.mp4 (116.86 MB)
10 MERN app Walkthrough Part 4.mp4 (58.34 MB)
11 MERN app Walkthrough Part 5.mp4 (17.7 MB)
01 Clean Up Resources.mp4 (42.88 MB)
03 Congratulations.mp4 (3.8 MB)]
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