loss
10
5.7
- noun
- /lɔs/
- Specialized
:
función de pérdida
- To improve predictions, developers often aim to minimize the loss calculated during training.
These activation functions put together are tasked with optimizing a loss function for aggression.
- These activation functions put together are tasked with optimizing a loss function for aggression.
Examples
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In machine learning, monitoring the loss function helps assess how well the model is performing.
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So as you train, your loss actually goes down.
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And let me show you some data on low loss propagation.
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K2 quantifies the rate of loss of information during the evolution of a dynamic system over time.
Academic text (2012) -
The number of subjects was reduced by loss of data from the pressure-measuring insole due to creasing.
Academic text (1994) -
Loss of accuracy may be detected as either 3) a denormalization loss or 4) an inexact result.
Academic text (1999) -
As the model trained, the loss steadily decreased, indicating a better fit for the data.
Idioms
Compounds
30
2.6
A situation when a person no longer has a job because of company problems or a weak economy
- Specialized
6
5.3
A short time when a person is not aware of what is around them and does not respond
2
4.1
A report that shows how much money a company made and spent during a period
- Specialized
1
7.0
The part of customer payments for insurance paid out as claims in a period
- Specialized
1
6.0
A loss when you sell something like a house or stock for less than you paid
- Literature
1
4.4
Strong happy feelings for someone and the sadness that comes when they leave
- Specialized
1
6.1
A fall in an investment's value that is only on paper because you have not sold it
- Specialized
1
5.3
Hearing loss from damage to the inner ear or the nerve that sends sound to the brain
- Specialized
1
5.8
An instruction to automatically sell shares when their price falls to a set level to limit loss
- Specialized
Sound cannot pass through the middle ear to reach the inner ear, causing hearing loss
- Specialized
When a computer system or program forgets what it learned after training on new data
A report made at the end of a business year that shows its profit or loss
How Large
Surface Forms
Etymology
Loss comes from an old English word los and the verb lose, so in machine learning a loss is a number that shows how much the model's answers 'lose' compared to the true answers, meaning how wrong or far away they are.