Motivational example: face recognition and clustering; distance measures, preprocessing, learning; embeddings in general (classifiers, word embeddings, dimensionality reduction, reinforcement learning, ...);
Content:
– Embeddings;
– Motivational example: face recognition and clustering;
– Why a standard deep classifier would fail;
– Distance measures / preprocessing / learning;
– Embeddings in general:
– Classifiers;
– Word embeddings;
– Dimensionality reduction;
– Reinforcement learning;
– ...
– Face embeddings and clustering;
– ...
A set of colab notebooks, regarding especially these topics:
– Word embeddings;
– Embedding images using a CNN classifier;
– Face clustering: a practical example;
– ...
The estimated additional time required for studying the material independently, using the lecture videos/slides and also referencing other literature and material, as necessary. Facilitates correct understanding of the material.
This activity also includes the time required for review before exams.
Quiz activities meant to provide quick, unassessed feedback to students regarding their grasp of the material.
