Tutorials

Previously, we discussed how to save and serialize your models to disk after training is complete. We also learned how to spot underfitting and overfitting as they are happening, enabling you to kill off experiments that are not performing well…

In this tutorial, you will learn two methods to incorporate data augmentation into your tf.data pipeline using Keras and TensorFlow. This tutorial is part in our three part series on the tf.data module: A gentle introduction to tf.data Data pipelines…

In this tutorial, you will learn how to implement fast, efficient data pipelines for training neural networks using tf.data and TensorFlow. This tutorial is part two in our three part series on the tf.data module: A gentle introduction to tf.data…

In this tutorial, you will learn the basics of TensorFlow’s tf.data module used to build faster, more efficient deep learning data pipelines. This blog post is part one in our three part series on tf.data: A gentle introduction to tf.data…

In this tutorial, you will learn how to use the Keras Tuner package for easy hyperparameter tuning with Keras and TensorFlow. This tutorial is part four in our four-part series on hyperparameter tuning: Introduction to hyperparameter tuning with scikit-learn and…

In this tutorial, you will learn how to tune the hyperparameters of a deep neural network using scikit-learn, Keras, and TensorFlow. This tutorial is part three in our four-part series on hyperparameter tuning: Introduction to hyperparameter tuning with scikit-learn and…

In this tutorial, you will learn how to grid search hyperparameters using the scikit-learn machine learning library and the GridSearchCV class. We’ll apply the grid search to a computer vision project. This blog post is part two in our four-part…

One concept we have not discussed yet is architecture visualization, the process of constructing a graph of nodes and associated connections in a network and saving the graph to disk as an image (i.e., PNG, JPG, etc.). Nodes in the…

In this tutorial, you will implement a CNN using Python and Keras. We’ll start with a quick review of Keras configurations you should keep in mind when constructing and training your own CNNs. We’ll then implement ShallowNet, which as the…