You can master Computer Vision, Deep Learning, and OpenCV - PyImageSearch
Backpropagation is arguably the most important algorithm in neural network history — without (efficient) backpropagation, it would be impossible to train deep learning networks to the depths that we see today. Backpropagation can be considered the cornerstone of modern neural…
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In this tutorial, we will discuss the concept of weight initialization, or more simply, how we initialize our weight matrices and bias vectors. This tutorial is not meant to be a comprehensive initialization technique; however, it does highlight popular methods,…
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Recently, we’ve spent a reasonable amount of time discussing image fundamentals, types of learning, and even a four-step pipeline we can follow when building our own image classifiers. But we have yet to build an actual image classifier of our…
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In this post, I interview Jagadish Mahendran, senior Computer Vision/Artificial Intelligence (AI) engineer who recently won 1st place in the OpenCV Spatial AI Competition using the new OpenCV AI Kit (OAK). Jagadish’s winning project was a computer vision system for…
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In this tutorial, you will learn how to generate image batches of (1) normal images and (2) adversarial images during the training process. Doing so improves your model’s ability to generalize and defend against adversarial attacks. Last week we learned…
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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…
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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.…
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In this tutorial, you will learn how to flip images using OpenCV and the cv2.flip function. Similar to image rotation, OpenCV also provides methods to flip an image across its x- or y-axis. Though flipping operations are used less often,…
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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.…
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