Section outline

    • Micro-Topic 15.1: When Training Goes Wrong – Recognizing Issues (Goal: Acknowledge that training deep neural networks can encounter problems, and identify common signs of trouble.)

    • L15 MT1 FREE content SCORM package

    • Micro-Topic 15.2: Overfitting – When Your Model Memorizes (Goal: Understand overfitting and why it’s problematic.)

    • L15 MT2 FREE content SCORM package

    • Micro-Topic 15.3: Underfitting – When Your Model is Too Simple or Not Trained Enough (Goal: Understand underfitting and how it differs from overfitting.)

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    • Micro-Topic 15.4: Fixing Overfitting – Generalization Techniques (Goal: Learn methods to reduce overfitting and improve generalization.)

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    • Micro-Topic 15.5: Improving a “Stuck” or Underperforming Model (Goal: Learn strategies to handle underfitting or stagnant training – how to tune training to get better performance.)

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