How can overfitting be visualized in terms of training and validation loss?
Saturday, 05 August 2023
by EITCA Academy
Overfitting is a common problem in machine learning models, including those built using TensorFlow. It occurs when a model becomes too complex and starts to memorize the training data instead of learning the underlying patterns. This leads to poor generalization and high training accuracy, but low validation accuracy. In terms of training and validation loss,
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Overfitting and underfitting problems, Solving model’s overfitting and underfitting problems - part 1, Examination review
Tagged under:
Artificial Intelligence, Machine Learning, Overfitting, TensorFlow, Training Loss, Validation Loss