Course Wiki

Module 9: Serverless Deep Learning — Machine Learning Zoomcamp

Lessons, materials, and key concepts for module 9 of Machine Learning Zoomcamp.

Machine Learning Zoomcamp > Module 9: Serverless Deep Learning

9. Serverless Deep Learning

Use the workshop for most of the content.

The content in the module still works, but most of it is outdated and doesn’t work with newer version of Python.

Check 9.1 and 9.2 for introduction, but for the rest of the module, use the workshop materials. Also, unit 9.7 could still be relevant.

• 9.1 Introduction to Serverless
• 9.2 AWS Lambda
• (Outdated) 9.3 TensorFlow Lite
• (Outdated) 9.4 Preparing the code for Lambda
• (Outdated) 9.5 Preparing a Docker image
• (Outdated) 9.6 Creating the lambda function
• 9.7 API Gateway: exposing the lambda function
• 9.8 S

Lessons

Key concepts

• TensorFlow
• Neural Networks
• Serverless Deployment
• Model Deployment
• Docker
• Gradient Boosting
• scikit-learn

Homework and deadlines live in the course repository: machine-learning-zoomcamp.

Other modules in this course

• Module 1: Introduction to Machine Learning
• Module 2: Machine Learning for Regression
• Module 3: Machine Learning for Classification
• Module 4: Evaluation Metrics for Classification
• Module 5: Deploying Machine Learning Models
• Module 6: Decision Trees and Ensemble Learning
• Module 8: Neural Networks and Deep Learning
• Module 10: Kubernetes and TensorFlow Serving