I'm training deep neural networks on large datasets at night.
Here's a selection of ML resources that I've written, built or developed recently:
- Optimising linear regression: A guide to applying gradient descent
- Breaking the ice: How to solve OpenAI Frozen Lake with the cross-entropy method
- Neural networks 101: The basics of forward and backward propagation
- Get started with Docker: The most useful commands you need
- Virtual environments: How to avoid Python dependency hell with venv and pip freeze