![[DL] Splitting data into development set + (training & validation) and test set + Callbacks](https://i.ytimg.com/vi/OeZ6i-8xXwQ/mqdefault.jpg)
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Last Updated: October 27, 2026
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This video is part of the Udacity course "Deep Learning". Watch the full course at udacity.com/course/ud730. Learn the key differences between training, To train machine learning models we need to provide the model with a training and In this video, we explain the concept of the different data Machine Learning by Andrew Ng [Coursera] 06-01 Advice for applying machine learning. A model that scores perfectly on its training data can still miss the very next point badly, and the fix everyone knows, holding some ... The difference between training, Here what your boss should have done is split the data and kept maybe a portion of the data as A machine learning model achieves 98% Take the Deep Learning Specialization: bit.ly/2VDnWxz Why a model must be judged on data it did not learn from. Practice exercises, end-of-chapter exercises and the final
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