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 use the GridSearchCV class to do grid search hyperparameter tuning using the scikit-learn machine learning library. We’ll apply the grid search to a computer vision project. This blog post is part two…

In this tutorial, you will learn how to tune machine learning model hyperparameters with scikit-learn and Python. This tutorial is part one in a four-part series on hyperparameter tuning: Introduction to hyperparameter tuning with scikit-learn and Python (today’s post) Grid…

In this tutorial, you will learn how to perform anomaly/novelty detection in image datasets using OpenCV, Computer Vision, and the scikit-learn machine learning library. Imagine this — you’re fresh out of college with a degree in Computer Science. You focused…

Now that we’ve had a taste of Deep Learning and Convolutional Neural Networks in last week’s blog post on LeNet, we’re going to take a step back and start to study machine learning in the context of image classification in…