Home▸AI & Machine Learning▸Continual Learning Lab: Catastrophic Forgetting, EWC & Replay

🧠 Continual Learning Lab: Catastrophic Forgetting, EWC & Replay

Train a toy neural network on a sequence of tasks and watch catastrophic forgetting erase old skills. Tune Elastic Weight Consolidation strength and an experience-replay buffer to see how they trade plasticity for stability.

AI & Machine Learning3DAdvanced60 FPS

Details

CategoryAI & Machine Learning

RenderingThree.js · WebGL

DifficultyAdvanced

Target FPS60

ControlsNext task button starts training on a new overlapping target pattern; EWC strength slider (0-40) sets how strongly weights important to old tasks resist change; replay buffer slider (0-100%) nudges weights back toward the average of previously learned tasks; learning-rate slider (0.05-1.0) sets overall plasticity/training speed; Pause/Resume and Reset buttons.

Three.jsContinual LearningLifelong LearningCatastrophic ForgettingElastic Weight ConsolidationExperience ReplayInstancedMesh

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⚙ Under the hood

Train a toy neural network on a sequence of overlapping tasks and watch its weights shift on a live 3D grid. Tune Elastic Weight Consolidation strength and an experience-replay buffer to see how they trade new-task plasticity for old-task stability, and track per-task accuracy bars as catastrophic forgetting sets in or is tamed.

Three.jsContinual LearningLifelong LearningCatastrophic ForgettingElastic Weight ConsolidationExperience ReplayInstancedMesh

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install