What is early stopping and how does it help address overfitting in machine learning?
Saturday, 05 August 2023
by EITCA Academy
Early stopping is a regularization technique commonly used in machine learning, particularly in the field of deep learning, to address the issue of overfitting. Overfitting occurs when a model learns to fit the training data too well, resulting in poor generalization to unseen data. Early stopping helps prevent overfitting by monitoring the model's performance during
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, TensorFlow in Google Colaboratory, Using TensorFlow to solve regression problems, Examination review
Tagged under:
Artificial Intelligence, Deep Learning, Early Stopping, Machine Learning, Overfitting, Regularization
How can overfitting be mitigated during the training process of an image classifier?
Saturday, 05 August 2023
by EITCA Academy
Overfitting is a common problem that occurs during the training process of an image classifier in the field of Artificial Intelligence. It happens when a model learns the training data too well, to the point that it becomes overly specialized and fails to generalize to new, unseen data. This can lead to poor performance and
- Published in Artificial Intelligence, EITC/AI/TFF TensorFlow Fundamentals, Introduction to TensorFlow, Building an image classifier, Examination review
Tagged under:
Artificial Intelligence, Cross-validation, Data Augmentation, Dropout, Early Stopping, Regularization