Avoid Overfitting Using Regularization in TensorFlow

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在此指导项目中,您将:
2 hours
中级
无需下载
分屏视频
英语(English)
仅限桌面

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.

您要培养的技能

  • Data Science

  • Deep Learning

  • Machine Learning

  • Tensorflow

  • keras

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