In this tutorial, you will learn how to implement a simple scene boundary/shot transition detector with OpenCV. Two weeks ago I flew out to San Diego, CA for a vacation with my Dad. We were on the first flight out of Philadelphia and landed in San Diego at 10:30 AM, but unfortunately, our hotel rooms […]
An interview with Kapil Varshney, Data Scientist at Esri R&D
In today’s blog post, I interview Kapil Varshney, a PyImageSearch reader who was recently hired at Esri Research and Development as a Data Scientist focusing on Computer Vision and Deep Learning. Kapil’s story is really important as it shows that, no matter what your background is, you can be successful in computer vision and deep learning — you just […]
Keras Learning Rate Finder
In this tutorial, you will learn how to automatically find learning rates using Keras. This guide provides a Keras implementation of fast.ai’s popular “lr_find” method. Today is part three in our three-part series of learning rate schedules, policies, and decay using Keras: Part #1: Keras learning rate schedules and decay Part #2: Cyclical Learning Rates […]
Cyclical Learning Rates with Keras and Deep Learning
In this tutorial, you will learn how to use Cyclical Learning Rates (CLR) and Keras to train your own neural networks. Using Cyclical Learning Rates you can dramatically reduce the number of experiments required to tune and find an optimal learning rate for your model. Today is part two in our three-part series on tuning […]
Keras learning rate schedules and decay
In this tutorial, you will learn about learning rate schedules and decay using Keras. You’ll learn how to use Keras’ standard learning rate decay along with step-based, linear, and polynomial learning rate schedules. When training a neural network, the learning rate is often the most important hyperparameter for you to tune: Too small a learning […]
Video classification with Keras and Deep Learning
In this tutorial, you will learn how to perform video classification using Keras, Python, and Deep Learning. Specifically, you will learn: The difference between video classification and standard image classification How to train a Convolutional Neural Network using Keras for image classification How to take that CNN and then use it for video classification How […]
Keras ImageDataGenerator and Data Augmentation
In today’s tutorial, you will learn how to use Keras’ ImageDataGenerator class to perform data augmentation. I’ll also dispel common confusions surrounding what data augmentation is, why we use data augmentation, and what it does/does not do. Knowing that I was going to write a tutorial on data augmentation, two weekends ago I decided to […]
Remote development on the Raspberry Pi (or Amazon EC2)
In this blog post, you will learn how to perform remote development on a Raspberry Pi (or Amazon EC2 server). You will discover how to configure your host machine to connect to these systems and remotely perform Python development. Today’s tutorial is actually a chapter for my upcoming book, Raspberry Pi for Computer Vision. As […]
Change input shape dimensions for fine-tuning with Keras
In this tutorial, you will learn how to change the input shape tensor dimensions for fine-tuning using Keras. After going through this guide you’ll understand how to apply transfer learning to images with different image dimensions than what the CNN was originally trained on. A few weeks ago I published a tutorial on transfer learning […]
Online/Incremental Learning with Keras and Creme
In this tutorial, you will learn how to perform online/incremental learning with Keras and Creme on datasets too large to fit into memory. A few weeks ago I showed you how to use Keras for feature extraction and online learning — we used that tutorial to perform transfer learning and recognize classes the original CNN was […]