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Wednesday, 24 April 2024

Regression Tutorial with the Keras Deep Learning Library in Python

 Keras is a deep learning library that wraps the efficient numerical libraries Theano and TensorFlow.

In this post, you will discover how to develop and evaluate neural network models using Keras for a regression problem.

After completing this step-by-step tutorial, you will know:

  • How to load a CSV dataset and make it available to Keras
  • How to create a neural network model with Keras for a regression problem
  • How to use scikit-learn with Keras to evaluate models using cross-validation
  • How to perform data preparation in order to improve skill with Keras models
  • How to tune the network topology of models with KerasKeras is a deep learning library that wraps the efficient numerical libraries Theano and TensorFlow.

    In this post, you will discover how to develop and evaluate neural network models using Keras for a regression problem.

    After completing this step-by-step tutorial, you will know:

    • How to load a CSV dataset and make it available to Keras
    • How to create a neural network model with Keras for a regression problem
    • How to use scikit-learn with Keras to evaluate models using cross-validation
    • How to perform data preparation in order to improve skill with Keras models
    • How to tune the network topology of models with Keras

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