![[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: September 6, 2026
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This video is part of the Udacity course "Deep Learning". Watch the full course at udacity.com/course/ud730. Machine Learning by Andrew Ng [Coursera] 06-01 Advice for applying machine learning. To train machine learning models we need to provide the model with a training and Learn the key differences between training, In this video, we explain the concept of the different data Here what your boss should have done is split the data and kept maybe a portion of the data as Take the Deep Learning Specialization: bit.ly/2TrivAA all our courses: deeplearning.ai to ... 00:14 Why split the data? 02:21 Common splits 02:52 Training set 03:27 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 ... This video explains a basic method for
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