Last Updated on August 19, 2019 Theano is a Python library for fast numerical computation that can be run on the CPU or GPU. It is a key foundational library for Deep Learning in Python that you can use directly to create Deep Learning models or wrapper libraries that greatly simplify the process. In this post you will discover the Theano Python library. Kick-start your project with my new book Deep Learning With Python, including step-by-step tutorials and the Python […]

Last Updated on December 20, 2019 TensorFlow is a Python library for fast numerical computing created and released by Google. It is a foundation library that can be used to create Deep Learning models directly or by using wrapper libraries that simplify the process built on top of TensorFlow. In this post you will discover the TensorFlow library for Deep Learning. Kick-start your project with my new book Deep Learning With Python, including step-by-step tutorials and the Python source code […]

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 […]

Last Updated on August 19, 2019 Keras is a Python deep learning library that provides easy and convenient access to the powerful numerical libraries like TensorFlow. Large deep learning models require a lot of compute time to run. You can run them on your CPU but it can take hours or days to get a result. If you have access to a GPU on your desktop, you can drastically speed up the training time of your deep learning models. In […]

Last Updated on August 15, 2020 Artificial neural networks are a fascinating area of study, although they can be intimidating when just getting started. There are a lot of specialized terminology used when describing the data structures and algorithms used in the field. In this post you will get a crash course in the terminology and processes used in the field of multi-layer perceptron artificial neural networks. After reading this post you will know: The building blocks of neural networks including neurons, […]

Last Updated on August 19, 2019 The Keras Python library for deep learning focuses on the creation of models as a sequence of layers. In this post you will discover the simple components that you can use to create neural networks and simple deep learning models 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 Mar/2017: Updated example for Keras […]

Last Updated on August 27, 2020 Keras is an easy to use and powerful Python library for deep learning. There are a lot of decisions to make when designing and configuring your deep learning models. Most of these decisions must be resolved empirically through trial and error and evaluating them on real data. As such, it is critically important to have a robust way to evaluate the performance of your neural networks and deep learning models. In this post you […]

Last Updated on August 27, 2020 Keras is one of the most popular deep learning libraries in Python for research and development because of its simplicity and ease of use. The scikit-learn library is the most popular library for general machine learning in Python. In this post you will discover how you can use deep learning models from Keras with the scikit-learn library in Python. This will allow you to leverage the power of the scikit-learn library for tasks like […]

Last Updated on August 27, 2020 Keras is a Python library for deep learning that wraps the efficient numerical libraries Theano and TensorFlow. In this tutorial, you will discover how you can use Keras to develop and evaluate neural network models for multi-class classification problems. After completing this step-by-step tutorial, you will know: How to load data from CSV and make it available to Keras. How to prepare multi-class classification data for modeling with neural networks. How to evaluate Keras […]

Last Updated on August 27, 2020 Keras is a Python library for deep learning that wraps the efficient numerical libraries TensorFlow and Theano. Keras allows you to quickly and simply design and train neural network and deep learning models. In this post you will discover how to effectively use the Keras library in your machine learning project by working through a binary classification project step-by-step. After completing this tutorial, you will know: How to load training data and make it […]