Display Deep Learning Model Training History in Keras

Last Updated on October 3, 2019

You can learn a lot about neural networks and deep learning models by observing their performance over time during training.

Keras is a powerful library in Python that provides a clean interface for creating deep learning models and wraps the more technical TensorFlow and Theano backends.

In this post you will discover how you can review and visualize the performance of deep learning models over time during training in Python with Keras.

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• Update Mar/2017: Updated for Keras 2.0.2, TensorFlow 1.0.1 and Theano 0.9.0.
• Update Mar/2018: Added alternate link to download the dataset.
• Update Sep/2019: Updated for Keras 2.2.5 API.
• Update Oct/2019: Updated for Keras 2.3.0 API.

Access Model Training History in Keras

Keras provides the capability to register callbacks when training
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