loss
1
5.7
- noun
- /lɔs/
- Specialized
- To improve predictions, developers often aim to minimize the loss calculated during training.
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Watch on YouTubeThese 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
31
2.6
A situation when a person no longer has a job because of company problems or a weak economy
- Specialized
7
5.3
A short time when a person is not aware of what is around them and does not respond
- Literature
4
4.4
Strong happy feelings for someone and the sadness that comes when they leave
2
4.1
A report that shows how much money a company made and spent during a period
- Specialized
2
6.0
A loss when you sell something like a house or stock for less than you paid
- Specialized
2
7.0
The part of customer payments for insurance paid out as claims in a period
- Specialized
1
6.1
A fall in an investment's value that is only on paper because you have not sold it
- Specialized
1
5.8
An instruction to automatically sell shares when their price falls to a set level to limit loss
- Specialized
1
5.3
Hearing loss from damage to the inner ear or the nerve that sends sound to the brain
- Specialized
1
4.1
Sound cannot pass through the middle ear to reach the inner ear, causing hearing loss
1
4.7
A report made at the end of a business year that shows its profit or loss
- Specialized
When a computer system or program forgets what it learned after training on new data
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.