Representation Learning and Embedding Workflows

connect deep learning representations to retrieval and clustering ideas.

Units

1. Unit 10.00: Embeddings as reusable features
2. Unit 10.01: Similarity, distance, and nearest-neighbour search basics
3. Unit 10.02: Autoencoder intuition and reconstruction limits
4. Unit 10.03: Image or text embedding exploration
5. Unit 10.04: When embeddings fail or encode unwanted patterns
6. Unit 10.05: Project step: embedding exploration report

Module work

• Activity
• Knowledge check
• Summary