5.2 Practical Deep Learning Tips

Grokking Modern AI Fundamentals

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5.2 Practical Deep Learning Tips

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As neural networks grow more complex and are applied to real-world problems, it becomes crucial to refine training strategies.

In this section, we’ll look at several best practices which can significantly boost performance and prevent common pitfalls like overfitting.

In many real-world tasks, one class may have far more examples than another (e.g., detecting rare diseases in medical images).

A model trained on unbalanced data can ignore minority classes and still achieve seemingly high accuracy.

Methods:

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