Representation Learning and Embedding Workflows

connect deep learning representations to retrieval and clustering ideas.

Units

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

Module work

• Activity
• Knowledge check
• Summary