Avoid Overfitting Using Regularization in TensorFlow

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在此指導項目中,您將:
2 hours
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無需下載
分屏視頻
英語(English)
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In this 2-hour long project-based course, you will learn the basics of using weight regularization and dropout regularization to reduce over-fitting in an image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that, after the training and regularization, will predict image classes of input examples with similar accuracy for both training and validation sets. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

您要培養的技能

  • Data Science

  • Deep Learning

  • Machine Learning

  • Tensorflow

  • keras

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