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Solve your model’s overfitting and underfitting problems - Pt.1 (Coding TensorFlow)
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In this Coding TensorFlow episode, Magnus gives us an overview of a common machine learning problem, overfitting and underfitting. The goal of preventing overfitting is to develop models that generalize well to testing data, especially data that they haven't seen before. Where as, in underfitting your model has room for improvement. It may not have learned the important patterns in the training data. Watch to learn more, follow along with the link below, and stay tuned for part 2 of this Coding TensorFlow episode!
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Check out the Machine Learning Crash Course
Watch our Text Classification videos:
Check out the Machine Learning Crash Course
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