Your First Deep Learning Project in Python with Keras Step-By-Step

Last Updated on September 15, 2020

Keras is a powerful and easy-to-use free open source Python library for developing and evaluating deep learning models.

It wraps the efficient numerical computation libraries Theano and TensorFlow and allows you to define and train neural network models in just a few lines of code.

In this tutorial, you will discover how to create your first deep learning neural network model in Python using Keras.

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.

Let’s get started.

• Update Feb/2017: Updated prediction example so rounding works in Python 2 and 3.
• Update Mar/2017: Updated example for the latest versions of Keras and TensorFlow.
• Update Mar/2018: Added alternate link to download the dataset.
• Update Jul/2019: Expanded and added more useful resources.
• Update Sep/2019: Updated for Keras v2.2.5 API.
• Update Oct/2019: Updated for Keras v2.3.0 API and TensorFlow v2.0.0.
• Update Aug/2020: Updated for Keras v2.4.3 and TensorFlow v2.3.