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 […]

Last Updated on August 27, 2020 Keras is a deep learning library that wraps the efficient numerical libraries Theano and TensorFlow. In this post you will discover how to develop and evaluate neural network models using Keras for a regression problem. After completing this step-by-step tutorial, you will know: How to load a CSV dataset and make it available to Keras. How to create a neural network model with Keras for a regression problem. How to use scikit-learn with Keras to […]

Last Updated on August 27, 2020 Deep learning models can take hours, days or even weeks to train. If the run is stopped unexpectedly, you can lose a lot of work. In this post you will discover how you can check-point your deep learning models during training in Python using the Keras library. 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 […]

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. Kick-start your […]