Which of the following is a common loss function used for regression tasks in ne

Which of the following is a common loss function used for regression tasks in neural networks?

Which of the following is a common loss function used for regression tasks in neural networks?

Step 1: Understand what a loss function is. A loss function measures how well a model's predictions match the actual data.
Step 2: Know that regression tasks involve predicting continuous values, like prices or temperatures.
Step 3: Identify common loss functions used in regression. One of the most common is Mean Squared Error (MSE).
Step 4: Learn that MSE calculates the average of the squares of the errors, which are the differences between predicted and actual values.
Step 5: Conclude that MSE is widely used because it penalizes larger errors more than smaller ones, making it effective for regression tasks.

No concepts available.