Loop

term_id: loop

Category: basic_concepts

Definition

A fundamental control flow structure in computer science and AI development, a loop allows algorithms to iterate through datasets, perform repeated calculations, or run training epochs. Common types include ‘for’ loops, which iterate over a sequence, and ‘while’ loops, which continue until a specific condition changes. In machine learning, loops are essential for training models, evaluating performance metrics, and generating predictions across large batches of data.

Summary

A programming construct that repeats a block of code multiple times until a condition is met.

Key Concepts

  • Iteration
  • Control Flow
  • Epochs
  • Batch Processing

Use Cases

  • Training neural networks over multiple epochs
  • Iterating through dataset samples
  • Reinforcement learning step-by-step execution

Code Example

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for epoch in range(10):
    for batch in dataloader:
        train_step(batch)

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