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Tutorials
Revised and updated 4/10/2023 Table of Contents What Is Deep Learning? Topic Description A Brief Overview of Machine Learning The Basics of Neural Networks Deep Learning vs. Traditional Machine Learning Challenges and Limitations of Deep Learning Data Requirements Interpretability Overfitting…
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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 tutorial, you will learn about OpenCV Haar Cascades and how to apply them to real-time video streams. Haar cascades, first introduced by Viola and Jones in their seminal 2001 publication, Rapid Object Detection using a Boosted Cascade of…
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In this tutorial, you will learn how to perform face detection with OpenCV and Haar cascades. This guide, along with the next two, were inspired by an email I received from PyImageSearch reader, Angelos: Hi Adrian, I’ve been an avid…
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In this tutorial, you will learn how to perform multi-template matching with OpenCV. Last week you discovered how to utilize OpenCV and the cv2.matchTemplate function for basic template matching. The problem with this approach is that it could only detect…
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In this tutorial, you will learn how to perform template matching using OpenCV and the cv2.matchTemplate function. Other than contour filtering and processing, template matching is arguably one of the most simple forms of object detection: It’s simple to implement,…
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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 tutorial, you will learn how to defend against adversarial image attacks using Keras and TensorFlow. So far, you have learned how to generate adversarial images using three different methods: Adversarial images and attacks with Keras and TensorFlow Targeted…
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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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