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Udemy - Deployment of Machine Learning Models (2.2023)

Magnet Download Download Torrent
File Name
Size
01 - Introduction/001 Introduction to the course.mp4
19 MB
01 - Introduction/001 Introduction to the course.srt
3.6 kB
01 - Introduction/002 Course curriculum overview.mp4
39 MB
01 - Introduction/002 Course curriculum overview.srt
7.2 kB
01 - Introduction/003 Course requirements.mp4
26 MB
01 - Introduction/003 Course requirements.srt
5.1 kB
01 - Introduction/004 Setting up your computer.html
900 B
01 - Introduction/005 Course Material.mp4
5.3 MB
01 - Introduction/005 Course Material.srt
2.1 kB
01 - Introduction/006 The code.html
1.3 kB
01 - Introduction/007 Presentations.html
303 B
01 - Introduction/008 Download Dataset.html
1.2 kB
01 - Introduction/009 Additional Resources for the required skills.html
2.4 kB
01 - Introduction/010 How to approach the course.mp4
26 MB
01 - Introduction/010 How to approach the course.srt
6.0 kB
02 - Overview of Model Deployment/001 Deployments of Machine Learning Models.mp4
16 MB
02 - Overview of Model Deployment/001 Deployments of Machine Learning Models.srt
4.2 kB
02 - Overview of Model Deployment/002 Deployment of Machine Learning Pipelines.mp4
14 MB
02 - Overview of Model Deployment/002 Deployment of Machine Learning Pipelines.srt
5.3 kB
02 - Overview of Model Deployment/003 Research and Production Environment.mp4
6.2 MB
02 - Overview of Model Deployment/003 Research and Production Environment.srt
2.4 kB
02 - Overview of Model Deployment/004 Building Reproducible Machine Learning Pipelines.mp4
14 MB
02 - Overview of Model Deployment/004 Building Reproducible Machine Learning Pipelines.srt
6.3 kB
02 - Overview of Model Deployment/005 Challenges to Reproducibility.mp4
64 MB
02 - Overview of Model Deployment/005 Challenges to Reproducibility.srt
13 kB
02 - Overview of Model Deployment/006 Streamlining Model Deployment with Open-Source.mp4
31 MB
02 - Overview of Model Deployment/006 Streamlining Model Deployment with Open-Source.srt
7.4 kB
02 - Overview of Model Deployment/007 Additional Reading Resources.html
1.1 kB
03 - Machine Learning System Architecture/001 Machine Learning System Architecture and Why it Matters.mp4
7.9 MB
03 - Machine Learning System Architecture/001 Machine Learning System Architecture and Why it Matters.srt
3.8 kB
03 - Machine Learning System Architecture/002 03.2-Notes.pdf
310 kB
03 - Machine Learning System Architecture/002 Specific Challenges of Machine Learning Systems.mp4
27 MB
03 - Machine Learning System Architecture/002 Specific Challenges of Machine Learning Systems.srt
5.8 kB
03 - Machine Learning System Architecture/003 03.3-Notes.pdf
316 kB
03 - Machine Learning System Architecture/003 Principles for Machine Learning Systems.mp4
21 MB
03 - Machine Learning System Architecture/003 Principles for Machine Learning Systems.srt
9.9 kB
03 - Machine Learning System Architecture/004 03.4-Notes.pdf
313 kB
03 - Machine Learning System Architecture/004 Machine Learning System Architecture Approaches.mp4
25 MB
03 - Machine Learning System Architecture/004 Machine Learning System Architecture Approaches.srt
9.4 kB
03 - Machine Learning System Architecture/005 Machine Learning System Component Breakdown.mp4
15 MB
03 - Machine Learning System Architecture/005 Machine Learning System Component Breakdown.srt
7.8 kB
03 - Machine Learning System Architecture/006 Additional Reading Resources.html
4.6 kB
04 - Research Environment - Developing a Machine Learning Model/001 Research Environment - Process Overview.mp4
34 MB
04 - Research Environment - Developing a Machine Learning Model/001 Research Environment - Process Overview.srt
6.9 kB
04 - Research Environment - Developing a Machine Learning Model/002 Machine Learning Pipeline Overview.mp4
28 MB
04 - Research Environment - Developing a Machine Learning Model/002 Machine Learning Pipeline Overview.srt
6.8 kB
04 - Research Environment - Developing a Machine Learning Model/003 Feature Engineering - Variable Characteristics.mp4
36 MB
04 - Research Environment - Developing a Machine Learning Model/003 Feature Engineering - Variable Characteristics.srt
9.3 kB
04 - Research Environment - Developing a Machine Learning Model/004 Feature Engineering Techniques.mp4
35 MB
04 - Research Environment - Developing a Machine Learning Model/004 Feature Engineering Techniques.srt
7.5 kB
04 - Research Environment - Developing a Machine Learning Model/005 Feature Selection.mp4
32 MB
04 - Research Environment - Developing a Machine Learning Model/005 Feature Selection.srt
12 kB
04 - Research Environment - Developing a Machine Learning Model/006 Training a Machine Learning Model.mp4
7.2 MB
04 - Research Environment - Developing a Machine Learning Model/006 Training a Machine Learning Model.srt
3.4 kB
04 - Research Environment - Developing a Machine Learning Model/007 Research environment - second part.html
304 B
04 - Research Environment - Developing a Machine Learning Model/008 Code covered in this section.html
466 B
04 - Research Environment - Developing a Machine Learning Model/009 Python library versions.html
619 B
04 - Research Environment - Developing a Machine Learning Model/010 Data analysis demo - missing data.mp4
103 MB
04 - Research Environment - Developing a Machine Learning Model/010 Data analysis demo - missing data.srt
13 kB
04 - Research Environment - Developing a Machine Learning Model/010 Jupyter-notebook-in-repo.url
185 B
04 - Research Environment - Developing a Machine Learning Model/011 Data analysis demo - temporal variables.mp4
48 MB
04 - Research Environment - Developing a Machine Learning Model/011 Data analysis demo - temporal variables.srt
5.6 kB
04 - Research Environment - Developing a Machine Learning Model/011 Jupyter-notebook-in-repo.url
185 B
04 - Research Environment - Developing a Machine Learning Model/012 Data analysis demo - numerical variables.mp4
71 MB
04 - Research Environment - Developing a Machine Learning Model/012 Data analysis demo - numerical variables.srt
9.6 kB
04 - Research Environment - Developing a Machine Learning Model/012 Jupyter-notebook-in-repo.url
185 B
04 - Research Environment - Developing a Machine Learning Model/013 Data analysis demo - categorical variables.mp4
62 MB
04 - Research Environment - Developing a Machine Learning Model/013 Data analysis demo - categorical variables.srt
8.4 kB
04 - Research Environment - Developing a Machine Learning Model/013 Jupyter-notebook-in-repo.url
185 B
04 - Research Environment - Developing a Machine Learning Model/014 Engineering-notebook.url
191 B
04 - Research Environment - Developing a Machine Learning Model/014 Feature engineering demo 1.mp4
84 MB
04 - Research Environment - Developing a Machine Learning Model/014 Feature engineering demo 1.srt
10 kB
04 - Research Environment - Developing a Machine Learning Model/015 Engineering-notebook.url
191 B
04 - Research Environment - Developing a Machine Learning Model/015 Feature engineering demo 2.mp4
93 MB
04 - Research Environment - Developing a Machine Learning Model/015 Feature engineering demo 2.srt
10 kB
04 - Research Environment - Developing a Machine Learning Model/016 Feature selection demo.mp4
52 MB
04 - Research Environment - Developing a Machine Learning Model/016 Feature selection demo.srt
5.5 kB
04 - Research Environment - Developing a Machine Learning Model/016 Feature-selection-notebook.url
189 B
04 - Research Environment - Developing a Machine Learning Model/017 Model training demo.mp4
36 MB
04 - Research Environment - Developing a Machine Learning Model/017 Model training demo.srt
5.1 kB
04 - Research Environment - Developing a Machine Learning Model/017 Model-training-notebook.url
186 B
04 - Research Environment - Developing a Machine Learning Model/018 Scoring new data with our model.mp4
112 MB
04 - Research Environment - Developing a Machine Learning Model/018 Scoring new data with our model.srt
12 kB
04 - Research Environment - Developing a Machine Learning Model/019 Research environment - third part.html
291 B
04 - Research Environment - Developing a Machine Learning Model/020 Python Open Source for Machine Learning.mp4
80 MB
04 - Research Environment - Developing a Machine Learning Model/020 Python Open Source for Machine Learning.srt
14 kB
04 - Research Environment - Developing a Machine Learning Model/021 Open Source Libraries for Feature Engineering.mp4
49 MB
04 - Research Environment - Developing a Machine Learning Model/021 Open Source Libraries for Feature Engineering.srt
8.0 kB
04 - Research Environment - Developing a Machine Learning Model/022 Feature engineering with open source demo.mp4
117 MB
04 - Research Environment - Developing a Machine Learning Model/022 Feature engineering with open source demo.srt
13 kB
04 - Research Environment - Developing a Machine Learning Model/023 Research environment - fourth part.html
288 B
04 - Research Environment - Developing a Machine Learning Model/024 Intro to Object Oriented Programing.mp4
23 MB
04 - Research Environment - Developing a Machine Learning Model/024 Intro to Object Oriented Programing.srt
8.1 kB
04 - Research Environment - Developing a Machine Learning Model/025 Inheritance and the Scikit-learn API.mp4
30 MB
04 - Research Environment - Developing a Machine Learning Model/025 Inheritance and the Scikit-learn API.srt
5.7 kB
04 - Research Environment - Developing a Machine Learning Model/026 Create Scikit-Learn compatible transformers.mp4
29 MB
04 - Research Environment - Developing a Machine Learning Model/026 Create Scikit-Learn compatible transformers.srt
6.6 kB
04 - Research Environment - Developing a Machine Learning Model/027 Create transformers that learn parameters.mp4
71 MB
04 - Research Environment - Developing a Machine Learning Model/027 Create transformers that learn parameters.srt
7.0 kB
04 - Research Environment - Developing a Machine Learning Model/028 Feature engineering pipeline demo.mp4
82 MB
04 - Research Environment - Developing a Machine Learning Model/028 Feature engineering pipeline demo.srt
8.3 kB
04 - Research Environment - Developing a Machine Learning Model/029 Should feature selection be part of the pipeline.mp4
7.5 MB
04 - Research Environment - Developing a Machine Learning Model/029 Should feature selection be part of the pipeline.srt
3.8 kB
04 - Research Environment - Developing a Machine Learning Model/030 Research environment - final section.html
395 B
04 - Research Environment - Developing a Machine Learning Model/031 Getting Ready for Deployment - Final Pipeline.mp4
58 MB
04 - Research Environment - Developing a Machine Learning Model/031 Getting Ready for Deployment - Final Pipeline.srt
7.7 kB
04 - Research Environment - Developing a Machine Learning Model/031 link-to-Jupyter-notebook.url
177 B
04 - Research Environment - Developing a Machine Learning Model/032 Bonus Additional Resources on Scikit-Learn.html
3.9 kB
04 - Research Environment - Developing a Machine Learning Model/external-links.txt
1.7 kB
05 - Packaging The Model for Production/001 Introduction to Production Code.mp4
8.8 MB
05 - Packaging The Model for Production/001 Introduction to Production Code.srt
4.1 kB
05 - Packaging The Model for Production/002 Repo for this section.html
454 B
05 - Packaging The Model for Production/003 Code Overview.mp4
174 MB
05 - Packaging The Model for Production/003 Code Overview.srt
16 kB
05 - Packaging The Model for Production/003 DMLM-notebook-to-code-diagram.jpeg
788 kB
05 - Packaging The Model for Production/004 Understanding the Reasoning Behind the Prod Code Structure.mp4
114 MB
05 - Packaging The Model for Production/004 Understanding the Reasoning Behind the Prod Code Structure.srt
16 kB
05 - Packaging The Model for Production/005 Reminder Download the Kaggle Data.html
759 B
05 - Packaging The Model for Production/006 Package Requirements Files.mp4
35 MB
05 - Packaging The Model for Production/006 Package Requirements Files.srt
5.6 kB
05 - Packaging The Model for Production/007 Working with tox [Do NOT skip - important].mp4
167 MB
05 - Packaging The Model for Production/007 Working with tox [Do NOT skip - important].srt
13 kB
05 - Packaging The Model for Production/008 Migrating from Tox 3 to Tox 4.html
559 B
05 - Packaging The Model for Production/009 Troubleshooting Tox.html
3.1 kB
05 - Packaging The Model for Production/010 Package Config.mp4
123 MB
05 - Packaging The Model for Production/010 Package Config.srt
10 kB
05 - Packaging The Model for Production/011 The Model Training Script & Pipeline.mp4
115 MB
05 - Packaging The Model for Production/011 The Model Training Script & Pipeline.srt
8.9 kB
05 - Packaging The Model for Production/012 Introduction to Pytest [Optional].mp4
46 MB
05 - Packaging The Model for Production/012 Introduction to Pytest [Optional].srt
12 kB
05 - Packaging The Model for Production/013 Feature Engineering Code in the Package.mp4
96 MB
05 - Packaging The Model for Production/013 Feature Engineering Code in the Package.srt
9.3 kB
05 - Packaging The Model for Production/014 Making Predictions with the Package.mp4
143 MB
05 - Packaging The Model for Production/014 Making Predictions with the Package.srt
11 kB
05 - Packaging The Model for Production/015 Building the Package.mp4
115 MB
05 - Packaging The Model for Production/015 Building the Package.srt
8.5 kB
05 - Packaging The Model for Production/016 Tooling.mp4
41 MB
05 - Packaging The Model for Production/016 Tooling.srt
4.7 kB
05 - Packaging The Model for Production/017 Section Notes & Further Reading.html
1.3 kB
06 - Serving and Deploying the model via REST API/001 Running the API Locally.mp4
37 MB
06 - Serving and Deploying the model via REST API/001 Running the API Locally.srt
6.3 kB
06 - Serving and Deploying the model via REST API/002 Understanding the Architecture of the API.mp4
12 MB
06 - Serving and Deploying the model via REST API/002 Understanding the Architecture of the API.srt
6.0 kB
06 - Serving and Deploying the model via REST API/003 Introduction to FastAPI.mp4
39 MB
06 - Serving and Deploying the model via REST API/003 Introduction to FastAPI.srt
9.2 kB
06 - Serving and Deploying the model via REST API/004 The API Endpoints.mp4
138 MB
06 - Serving and Deploying the model via REST API/004 The API Endpoints.srt
13 kB
06 - Serving and Deploying the model via REST API/005 Using Schemas in our API.mp4
66 MB
06 - Serving and Deploying the model via REST API/005 Using Schemas in our API.srt
7.5 kB
06 - Serving and Deploying the model via REST API/006 Logging in our Application.mp4
89 MB
06 - Serving and Deploying the model via REST API/006 Logging in our Application.srt
7.5 kB
06 - Serving and Deploying the model via REST API/007 The Uvicorn Web Server.mp4
17 MB
06 - Serving and Deploying the model via REST API/007 The Uvicorn Web Server.srt
4.5 kB
06 - Serving and Deploying the model via REST API/008 Introducing Railway App and Platform as a Service.mp4
1.4 MB
06 - Serving and Deploying the model via REST API/008 Introducing Railway App and Platform as a Service.srt
683 B
06 - Serving and Deploying the model via REST API/009 What Is a Platform as a Service (PaaS).mp4
12 MB
06 - Serving and Deploying the model via REST API/009 What Is a Platform as a Service (PaaS).srt
3.9 kB
06 - Serving and Deploying the model via REST API/010 Why Use Railway as Our PaaS.mp4
11 MB
06 - Serving and Deploying the model via REST API/010 Why Use Railway as Our PaaS.srt
4.9 kB
06 - Serving and Deploying the model via REST API/011 Railway Links.html
553 B
06 - Serving and Deploying the model via REST API/012 Deploying our ML Application to Railway - Hands On.mp4
71 MB
06 - Serving and Deploying the model via REST API/012 Deploying our ML Application to Railway - Hands On.srt
11 kB
06 - Serving and Deploying the model via REST API/013 Limitations to Be Aware Of & Wrap Up.mp4
3.7 MB
06 - Serving and Deploying the model via REST API/013 Limitations to Be Aware Of & Wrap Up.srt
2.1 kB
06 - Serving and Deploying the model via REST API/014 Section Notes & Further Reading.html
2.8 kB
07 - Continuous Integration and Deployment Pipelines/001 Introduction to CICD.mp4
31 MB
07 - Continuous Integration and Deployment Pipelines/001 Introduction to CICD.srt
4.9 kB
07 - Continuous Integration and Deployment Pipelines/002 Setting up CircleCI.mp4
7.0 MB
07 - Continuous Integration and Deployment Pipelines/002 Setting up CircleCI.srt
1.8 kB
07 - Continuous Integration and Deployment Pipelines/003 CICD Automation Overview Part 1.mp4
7.2 MB
07 - Continuous Integration and Deployment Pipelines/003 CICD Automation Overview Part 1.srt
3.7 kB
07 - Continuous Integration and Deployment Pipelines/004 CICD Config Explanation.mp4
41 MB
07 - Continuous Integration and Deployment Pipelines/004 CICD Config Explanation.srt
12 kB
07 - Continuous Integration and Deployment Pipelines/005 CICD Automation Overview Part 2.mp4
25 MB
07 - Continuous Integration and Deployment Pipelines/005 CICD Automation Overview Part 2.srt
7.7 kB
07 - Continuous Integration and Deployment Pipelines/006 Using a Private Index Server (Gemfury).mp4
93 MB
07 - Continuous Integration and Deployment Pipelines/006 Using a Private Index Server (Gemfury).srt
8.1 kB
07 - Continuous Integration and Deployment Pipelines/007 Hands on Run the CI Tests in your own Github Fork.mp4
78 MB
07 - Continuous Integration and Deployment Pipelines/007 Hands on Run the CI Tests in your own Github Fork.srt
4.6 kB
07 - Continuous Integration and Deployment Pipelines/008 Hands on Run the CI Deploy on Your Own Github Fork.mp4
38 MB
07 - Continuous Integration and Deployment Pipelines/008 Hands on Run the CI Deploy on Your Own Github Fork.srt
9.4 kB
07 - Continuous Integration and Deployment Pipelines/009 Hands on Run the CI Publish on Your Own Github Fork.mp4
46 MB
07 - Continuous Integration and Deployment Pipelines/009 Hands on Run the CI Publish on Your Own Github Fork.srt
3.0 kB
07 - Continuous Integration and Deployment Pipelines/010 Section Notes & Further Reading.html
1.7 kB
08 - Deploying The ML API With Containers/001 Docker Refresher [Optional - For those unfamiliarrusty with Docker].mp4
55 MB
08 - Deploying The ML API With Containers/001 Docker Refresher [Optional - For those unfamiliarrusty with Docker].srt
8.0 kB
08 - Deploying The ML API With Containers/001 docker-notes.pdf
372 kB
08 - Deploying The ML API With Containers/002 The Value of Docker and Containers.mp4
17 MB
08 - Deploying The ML API With Containers/002 The Value of Docker and Containers.srt
8.1 kB
08 - Deploying The ML API With Containers/003 Understanding The Container Deployment Process.mp4
7.4 MB
08 - Deploying The ML API With Containers/003 Understanding The Container Deployment Process.srt
3.3 kB
08 - Deploying The ML API With Containers/004 Docker Install Setup.html
513 B
08 - Deploying The ML API With Containers/005 Hands On Containerising the App Locally.mp4
38 MB
08 - Deploying The ML API With Containers/005 Hands On Containerising the App Locally.srt
5.7 kB
08 - Deploying The ML API With Containers/006 Updating the CI Pipeline for a Container Deployment.mp4
95 MB
08 - Deploying The ML API With Containers/006 Updating the CI Pipeline for a Container Deployment.srt
8.6 kB
08 - Deploying The ML API With Containers/007 Section Notes & Further Reading.html
245 B
09 - Differential Testing/001 Attention !!! - This section still works with old version of code.html
774 B
09 - Differential Testing/002 How to Use the Course Resources.mp4
49 MB
09 - Differential Testing/002 How to Use the Course Resources.srt
4.0 kB
09 - Differential Testing/002 Section5.3a-Notes.pdf
86 kB
09 - Differential Testing/003 9.1 - Introduction.mp4
8.6 MB
09 - Differential Testing/003 9.1 - Introduction.srt
2.9 kB
09 - Differential Testing/004 9.2 - Setting up Differential Tests.mp4
55 MB
09 - Differential Testing/004 9.2 - Setting up Differential Tests.srt
4.1 kB
09 - Differential Testing/004 Section9.2-Notes.pdf
65 kB
09 - Differential Testing/005 9.3 - Differential Tests in CI (Part 1 of 2).mp4
43 MB
09 - Differential Testing/005 9.3 - Differential Tests in CI (Part 1 of 2).srt
3.6 kB
09 - Differential Testing/006 9.4 - Differential Tests in CI (Part 2 of 2).mp4
34 MB
09 - Differential Testing/006 9.4 - Differential Tests in CI (Part 2 of 2).srt
4.2 kB
09 - Differential Testing/006 Section9.4-Notes.pdf
101 kB
09 - Differential Testing/007 9.5 Wrap Up.mp4
8.9 MB
09 - Differential Testing/007 9.5 Wrap Up.srt
2.3 kB
09 - Differential Testing/007 Section9.5-Notes.pdf
70 kB
10 - Deploying to IaaS (AWS ECS)/001 Attention!!! We are currently updating this section.html
825 B
10 - Deploying to IaaS (AWS ECS)/002 12.1 - Introduction to AWS.mp4
15 MB
10 - Deploying to IaaS (AWS ECS)/002 12.1 - Introduction to AWS.srt
3.7 kB
10 - Deploying to IaaS (AWS ECS)/003 12.2 - AWS Costs and Caution.mp4
25 MB
10 - Deploying to IaaS (AWS ECS)/003 12.2 - AWS Costs and Caution.srt
2.7 kB
10 - Deploying to IaaS (AWS ECS)/003 Section12.2-Notes.pdf
75 kB
10 - Deploying to IaaS (AWS ECS)/004 12.3a - Intro to AWS ECS.mp4
15 MB
10 - Deploying to IaaS (AWS ECS)/004 12.3a - Intro to AWS ECS.srt
5.2 kB
10 - Deploying to IaaS (AWS ECS)/004 Section12.3-Notes.pdf
55 kB
10 - Deploying to IaaS (AWS ECS)/005 12.3b - Container Orchestration Options Kubernetes, ECS, Docker Swarm.mp4
16 MB
10 - Deploying to IaaS (AWS ECS)/005 12.3b - Container Orchestration Options Kubernetes, ECS, Docker Swarm.srt
4.0 kB
10 - Deploying to IaaS (AWS ECS)/005 Section12.3-Notes.pdf
55 kB
10 - Deploying to IaaS (AWS ECS)/006 12.4 - Create an AWS Account.mp4
3.2 MB
10 - Deploying to IaaS (AWS ECS)/006 12.4 - Create an AWS Account.srt
609 B
10 - Deploying to IaaS (AWS ECS)/006 Section12.4-Notes.pdf
54 kB
10 - Deploying to IaaS (AWS ECS)/007 12.5 - Setting Permissions with IAM.mp4
17 MB
10 - Deploying to IaaS (AWS ECS)/007 12.5 - Setting Permissions with IAM.srt
3.8 kB
10 - Deploying to IaaS (AWS ECS)/007 Section12.5-Notes.pdf
58 kB
10 - Deploying to IaaS (AWS ECS)/008 12.6 - Installing the AWS CLI.mp4
22 MB
10 - Deploying to IaaS (AWS ECS)/008 12.6 - Installing the AWS CLI.srt
2.8 kB
10 - Deploying to IaaS (AWS ECS)/008 Section12.6-Notes.pdf
57 kB
10 - Deploying to IaaS (AWS ECS)/009 12.7 - Configuring the AWS CLI.mp4
22 MB
10 - Deploying to IaaS (AWS ECS)/009 12.7 - Configuring the AWS CLI.srt
3.2 kB
10 - Deploying to IaaS (AWS ECS)/009 Section12.7-Notes.pdf
83 kB
10 - Deploying to IaaS (AWS ECS)/010 12.8 - Intro the Elastic Container Registry (ECR).mp4
5.7 MB
10 - Deploying to IaaS (AWS ECS)/010 12.8 - Intro the Elastic Container Registry (ECR).srt
1.3 kB
10 - Deploying to IaaS (AWS ECS)/010 Section12.8-Notes.pdf
55 kB
10 - Deploying to IaaS (AWS ECS)/011 12.9 - Uploading Images to the Elastic Container Registry (ECR).mp4
64 MB
10 - Deploying to IaaS (AWS ECS)/011 12.9 - Uploading Images to the Elastic Container Registry (ECR).srt
5.0 kB
10 - Deploying to IaaS (AWS ECS)/011 Section12.9-Notes.pdf
72 kB
10 - Deploying to IaaS (AWS ECS)/012 12.10 - Creating the ECS Cluster with Fargate Launch Method.mp4
30 MB
10 - Deploying to IaaS (AWS ECS)/012 12.10 - Creating the ECS Cluster with Fargate Launch Method.srt
5.2 kB
10 - Deploying to IaaS (AWS ECS)/012 Section12.10-Notes.pdf
57 kB
10 - Deploying to IaaS (AWS ECS)/013 12.11 - Updating the Cluster Containers.mp4
35 MB
10 - Deploying to IaaS (AWS ECS)/013 12.11 - Updating the Cluster Containers.srt
4.3 kB
10 - Deploying to IaaS (AWS ECS)/013 Section12.12-Notes.pdf
68 kB
10 - Deploying to IaaS (AWS ECS)/014 12.12 - Tearing down the ECS Cluster.mp4
4.5 MB
10 - Deploying to IaaS (AWS ECS)/014 12.12 - Tearing down the ECS Cluster.srt
834 B
10 - Deploying to IaaS (AWS ECS)/014 Section12.13-Notes.pdf
60 kB
10 - Deploying to IaaS (AWS ECS)/015 12.13 - Deploying to ECS via the CI pipeline.mp4
26 MB
10 - Deploying to IaaS (AWS ECS)/015 12.13 - Deploying to ECS via the CI pipeline.srt
3.0 kB
10 - Deploying to IaaS (AWS ECS)/015 Section12.14-Notes.pdf
64 kB
10 - Deploying to IaaS (AWS ECS)/016 12.14 - Wrap Up.mp4
12 MB
10 - Deploying to IaaS (AWS ECS)/016 12.14 - Wrap Up.srt
2.2 kB
10 - Deploying to IaaS (AWS ECS)/016 Section12.15-Notes.pdf
57 kB
11 - A Deep Learning Model with Big Data/001 Challenges of using Big Data in Machine Learning.mp4
6.0 MB
11 - A Deep Learning Model with Big Data/001 Challenges of using Big Data in Machine Learning.srt
2.8 kB
11 - A Deep Learning Model with Big Data/002 Installing Keras.html
1.8 kB
11 - A Deep Learning Model with Big Data/003 Download the data set.html
905 B
11 - A Deep Learning Model with Big Data/004 Introduction to a Large Dataset - Plant Seedlings Images.mp4
26 MB
11 - A Deep Learning Model with Big Data/004 Introduction to a Large Dataset - Plant Seedlings Images.srt
2.2 kB
11 - A Deep Learning Model with Big Data/005 Building a CNN in the Research Environment.mp4
143 MB
11 - A Deep Learning Model with Big Data/005 Building a CNN in the Research Environment.srt
11 kB
11 - A Deep Learning Model with Big Data/005 CNN-Analysis-and-Model.zip
1.5 MB
11 - A Deep Learning Model with Big Data/006 CNNProdCode.zip
4.7 kB
11 - A Deep Learning Model with Big Data/006 Production Code for a CNN Learning Pipeline.mp4
79 MB
11 - A Deep Learning Model with Big Data/006 Production Code for a CNN Learning Pipeline.srt
11 kB
11 - A Deep Learning Model with Big Data/007 Reproducibility in Neural Networks.mp4
18 MB
11 - A Deep Learning Model with Big Data/007 Reproducibility in Neural Networks.srt
4.2 kB
11 - A Deep Learning Model with Big Data/008 Setting the Seed for Keras.html
3.7 kB
11 - A Deep Learning Model with Big Data/009 Seed for Neural Networks - Additional reading resources.html
397 B
11 - A Deep Learning Model with Big Data/010 13.8 - Packaging the CNN.mp4
112 MB
11 - A Deep Learning Model with Big Data/010 13.8 - Packaging the CNN.srt
7.4 kB
11 - A Deep Learning Model with Big Data/010 Section13.8-Notes.pdf
72 kB
11 - A Deep Learning Model with Big Data/011 13.9 - Adding the CNN to the API.mp4
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11 - A Deep Learning Model with Big Data/011 13.9 - Adding the CNN to the API.srt
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11 - A Deep Learning Model with Big Data/011 Section13.9-Notes.pdf
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11 - A Deep Learning Model with Big Data/012 13.10 - Additional Considerations and Wrap Up.mp4
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11 - A Deep Learning Model with Big Data/012 13.10 - Additional Considerations and Wrap Up.srt
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11 - A Deep Learning Model with Big Data/012 Section13.10-Notes.pdf
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12 - Common Issues found during deployment/001 Troubleshooting.html
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12 - Common Issues found during deployment/001 Troubleshooting.pdf
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13 - Appendix Former Section Serving the model via REST API/001 Appendix - PLEASE READ.html
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13 - Appendix Former Section Serving the model via REST API/002 7.1 - Introduction.mp4
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13 - Appendix Former Section Serving the model via REST API/002 7.1 - Introduction.srt
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13 - Appendix Former Section Serving the model via REST API/002 Section7.1-Notes.pdf
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13 - Appendix Former Section Serving the model via REST API/003 Primer on Monorepos.mp4
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13 - Appendix Former Section Serving the model via REST API/003 Primer on Monorepos.srt
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13 - Appendix Former Section Serving the model via REST API/003 Section5.3c-Notes.pdf
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13 - Appendix Former Section Serving the model via REST API/004 7.2 - Creating the API Skeleton.mp4
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13 - Appendix Former Section Serving the model via REST API/004 7.2 - Creating the API Skeleton.srt
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13 - Appendix Former Section Serving the model via REST API/004 Section7.2-Notes.pdf
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13 - Appendix Former Section Serving the model via REST API/005 7.2b - Note On Flask.html
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13 - Appendix Former Section Serving the model via REST API/006 7.3 - Adding Config and Logging.mp4
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13 - Appendix Former Section Serving the model via REST API/006 7.3 - Adding Config and Logging.srt
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13 - Appendix Former Section Serving the model via REST API/006 Section7.3-Notes.pdf
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13 - Appendix Former Section Serving the model via REST API/007 7.4 - Adding the Prediction Endpoint.mp4
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13 - Appendix Former Section Serving the model via REST API/007 7.4 - Adding the Prediction Endpoint.srt
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13 - Appendix Former Section Serving the model via REST API/007 Section7.4-Notes.pdf
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13 - Appendix Former Section Serving the model via REST API/008 7.5 - Adding a Version Endpoint.mp4
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13 - Appendix Former Section Serving the model via REST API/008 7.5 - Adding a Version Endpoint.srt
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13 - Appendix Former Section Serving the model via REST API/008 Section7.5-Notes.pdf
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13 - Appendix Former Section Serving the model via REST API/009 7.6 - API Schema Validation.mp4
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13 - Appendix Former Section Serving the model via REST API/009 7.6 - API Schema Validation.srt
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13 - Appendix Former Section Serving the model via REST API/009 Section7.6-Notes.pdf
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13 - Appendix Former Section Serving the model via REST API/010 7.7 - Wrap Up.mp4
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13 - Appendix Former Section Serving the model via REST API/010 7.7 - Wrap Up.srt
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14 - Final Section/001 Congratulations.html
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14 - Final Section/002 Bonus lecture.html
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