Update Mar/2017: Updated for Keras 2.0.2, TensorFlow 1.0.1 and Theano 0.9.0. Kick-start your project with my new book Deep Learning With Python, including step-by-step tutorials and the Python source code files for all examples. How to tune the network topology of models with Keras. 
How to perform data preparation in order to improve skill with Keras models.How to use scikit-learn with Keras to evaluate models using cross-validation.How to create a neural network model with Keras for a regression problem.
How to load a CSV dataset and make it available to Keras. In this post, you will discover how to develop and evaluate neural network models using Keras for a regression problem.Īfter completing this step-by-step tutorial, you will know: Keras is a deep learning library that wraps the efficient numerical libraries Theano and TensorFlow.
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