Course Wiki

Module 8: Neural Networks and Deep Learning — Machine Learning Zoomcamp

Lessons, materials, and key concepts for module 8 of Machine Learning Zoomcamp.

Machine Learning Zoomcamp > Module 8: Neural Networks and Deep Learning

8. Neural Networks and Deep Learning

Note: in the module we use TensorFlow+Keras. These videos were recorded a while ago, and while they are still relevant, PyTorch became the to-go framework for training neural networks.

That’s why we also re-recorded the content of this module with PyTorch. You can find the materials in the pytorch/ folder.

We don’t go over the theory in the PyTorch part. For that, refer to the main module (the one that still uses Keras).

How to watch it:

• If you want to learn PyTorch only, watch the module content for the theory only and then follow along the con

Lessons

Key concepts

• Regularization
• TensorFlow
• Neural Networks
• Gradient Boosting
• Transfer Learning
• PyTorch
• Prompt Engineering
• Jupyter Notebooks

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 9: Serverless Deep Learning
• Module 10: Kubernetes and TensorFlow Serving