Optimizing Model Training: Strategies and Challenges in Artificial Intelligence

When you train a model, you send data through the network multiple times. Think of it like wanting to become the best basketball player. You aim to improve your shooting, passing, and positioning to minimize errors. Similarly, machines use repeated exposure to data to recognize patterns.

This article will focus on a fundamental concept called backward propagation. After reading, you'll understand: