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 […]
Keras Mask R-CNN
In this tutorial, you will learn how to use Keras and Mask R-CNN to perform instance segmentation (both with and without a GPU). Using Mask R-CNN we can perform both: Object detection, giving us the (x, y)-bounding box coordinates of for each object in an image. Instance segmentation, enabling us to obtain a pixel-wise mask for […]
Fine-tuning with Keras and Deep Learning
In this tutorial, you will learn how to perform fine-tuning with Keras and Deep Learning. We will take a CNN pre-trained on the ImageNet dataset and fine-tune it to perform image classification and recognize classes it was never trained on. Today is the final post in our three-part series on fine-tuning: Part #1: Transfer learning […]
Keras: Feature extraction on large datasets with Deep Learning
In this tutorial, you will learn how to use Keras for feature extraction on image datasets too big to fit into memory. You’ll utilize ResNet-50 (pre-trained on ImageNet) to extract features from a large image dataset, and then use incremental learning to train a classifier on top of the extracted features. Today is part two […]
Transfer Learning with Keras and Deep Learning
In this tutorial, you will learn how to perform transfer learning with Keras, Deep Learning, and Python on your own custom datasets. Imagine this: You’re just hired by Yelp to work in their computer vision department. Yelp has just launched a new feature on its website that allows reviewers to take photos of their food/dishes […]
Object detection and image classification with Google Coral USB Accelerator
A few weeks ago I published a tutorial on how to get started with the Google Coral USB Accelerator. That tutorial was meant to help you configure your device and run your first demo script. Today we are going to take it a step further and learn how to utilize the Google Coral in your […]