Page history

Alpha5

Text replacement - "Category:Machine learning terms" to "Category:Machine learning terms Category:not updated"

Alpha5

→‎Types of Loss Functions

Alpha5

→‎How Training Loss is Used

Alpha5

no edit summary

Alpha5

no edit summary

Alpha5

no edit summary

Alpha5

no edit summary

Alpha5

no edit summary

Alpha5

Created page with "{{see also|Machine learning terms}} ==Introduction== Training loss is an important metric in machine learning that measures the discrepancy between predicted output and actual output. It helps evaluate a model's performance during training, with the aim being to minimize this loss so that it can generalize well on unseen data. ==Types of Loss Functions== Machine learning employs a variety of loss functions, depending on the problem being solved and the model being emplo..."