AI Terms Dictionary

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

1
2
3

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

Related Terms

• Iteration
• Algorithm
• Epoch
• Recursion