Regularization for Neural Networks in Keras

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level
Intermediate
Subject
Deep Learning
Course Length
1 hour 58 minutes
Subscription
Data Academy

Course Description

Learn and practice several regularization techniques (including dropout regulation and hyperparameter-tuning) to improve model accuracy. This course is part of the Deep Learning with Keras learning path – complete this path to learn how to apply deep learning algorithms in Python's Keras library.

Requirements

  • As part of the Deep Learning with Keras path, you will have already learned about the Keras library, multi-layer neural networks, cross-validation, and building scikit-learn interfaces.