Machine Learning

Introduction to Python Deep Learning with Keras

Last Updated on September 13, 2019

Two of the top numerical platforms in Python that provide the basis for Deep Learning research and development are Theano and TensorFlow.

Both are very powerful libraries, but both can be difficult to use directly for creating deep learning models.

In this post, you will discover the Keras Python library that provides a clean and convenient way to create a range of deep learning models on top of Theano or TensorFlow.

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 Oct/2016: Updated for Keras 1.1.0, Theano 0.8.2 and TensorFlow 0.10.0.
  • Update Sep/2019: Updated for Keras 2.2.5 API.
Introduction to the Python Deep Learning Library Keras

Introduction to the Python Deep Learning Library Keras
Photo by Dennis Jarvis, some rights reserved.

What is Keras?

Keras is a minimalist Python library for deep learning that can run on top of Theano or TensorFlow.

It was developed to make implementing deep learning models as fast
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