How does a network know it's wrong?
Loss functions turn every mistake into one number. Here's how squared and absolute loss score the same misses very differently. A neural network can't feel embarrassed when it's wrong. It needs a way to measure its mistakes, so it knows which direction to improve. That measurement is the loss funct…
Read the full story at DEV Community — Machine Learning ↗
Timeline · 1 report
- 2026-10-31 21:20 · DEV Community — Machine Learning
How does a network know it's wrong?