Deep Learning

In this blog post, I interview computer vision and deep learning engineer, Anthony Lowhur. Anthony shares the algorithms and techniques that he used to build a computer vision and deep learning system capable of recognizing 10,000+ Yugioh trading cards. I…

In this tutorial, you will learn how to perform adversarial attacks using the Fast Gradient Sign Method (FGSM). We will implement FGSM using Keras and TensorFlow. A dataset of images and their labels is critical for understanding adversarial attacksusing FGSM.…

In this tutorial, you will learn about contrastive loss and how it can be used to train more accurate siamese neural networks. We will implement contrastive loss using Keras and TensorFlow. Previously, I authored a three-part series on the fundamentals…

In this tutorial, you will learn how to compare two images for similarity (and whether or not they belong to the same or different classes) using siamese networks and the Keras/TensorFlow deep learning libraries. This blog post is part three…

In this tutorial you will learn how to implement and train a siamese network using Keras, TensorFlow, and Deep Learning. This tutorial is part two in our three-part series on the fundamentals of siamese networks: Part #1: Building image pairs…

In this tutorial, you will learn how to build image pairs for training siamese networks. We’ll implement our image pair generator using Python so that you can use the same code, regardless of whether you’re using TensorFlow, Keras, PyTorch, etc.…

In this tutorial you will learn how to implement Generative Adversarial Networks (GANs) using Keras and TensorFlow. Generative Adversarial Networks were first introduced by Goodfellow et al. in their 2014 paper, Generative Adversarial Networks. These networks can be used to…

In this tutorial you will learn how to perform super resolution in images and real-time video streams using OpenCV and Deep Learning. Today’s blog post is inspired by an email I received from PyImageSearch reader, Hisham: “Hi Adrian, I read…

In this tutorial, you will learn how to perform targeted adversarial attacks and construct targeted adversarial images using Keras, TensorFlow, and Deep Learning. Last week’s tutorial covered untargeted adversarial learning, which is the process of: Step #1: Accepting an input…