Lectures related to Image Classification: Overfitting and Accuracy Measures

Related lectures (32)

Delves into the trade-off between model complexity and risk, generalization bounds, and the dangers of overfitting complex function classes.

Explores regularization methods in neural networks, emphasizing the importance of training and validation bases to prevent overfitting.