Validation And Test Set Size

Summary

This video is part of the Udacity course "Deep Learning". Watch the full course at udacity.com/course/ud730. In this video, we explain the concept of the different data Learn the key differences between training, To train machine learning models we need to provide the model with a training and testing The difference between training, A model that scores perfectly on its training data can still miss the very next point badly, and the fix everyone knows, holding some ... Why a model must be judged on data it did not learn from. Practice exercises, end-of-chapter exercises and the final 00:14 Why split the data? 02:21 Common splits 02:52 Training Machine Learning by Andrew Ng [Coursera] 06-01 Advice for applying machine learning. Dive into the essentials of machine learning with our latest video, where we unravel the mysteries of training, A machine learning model achieves 98%