Learning | Florian Hölken

LearningInteractive learning material and browser-based computer science lessons.Interactive learning material by Florian Hölken: neural networks, reinforcement learning, large language models, the Semantic Web and program synthesis.Available lessons

Reinforcement Learning - An interactive Q-learning lesson with a playable 16:9 maze game and replayable agent runs.

Neural Networks - An interactive neural network lesson with spiral data, live training, activations and a decision boundary.

Large Language Models - An interactive LLM lesson with token streams, attention, next-token sampling and retrieval cards.

Semantic Web - An interactive introduction to RDF, linked data, inference, SPARQL and SHACL across independently published sensor graphs.

Program Synthesis - An interactive introduction to program synthesis, programming by example and evaluation. Learn why different programs can match the same examples yet disagree on other valid inputs.

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