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Convolutional Neural Networks: A Deep Dive (2024)

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In the following, we will explore Convolutional Neural Networks (CNNs), a key element in computer vision and image processing. Whether you’re a beginner or an experienced practitioner, this guide will provide insights into the mechanics of artificial neural networks and their applications. Howard et al.

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Computer Vision Tasks (Comprehensive 2024 Guide)

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Computer vision (CV) is a rapidly evolving area in artificial intelligence (AI), allowing machines to process complex real-world visual data in different domains like healthcare, transportation, agriculture, and manufacturing. The purpose is to give you an idea of modern computer vision algorithms and applications. Get a demo here.

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N-Shot Learning: Zero Shot vs. Single Shot vs. Two Shot vs. Few Shot

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The techniques make AI model development scalable and computationally inexpensive, as you can build large models with several parameters to capture general data patterns from a few samples. The AI community categorizes N-shot approaches into few, one, and zero-shot learning. The diagram below illustrates the algorithm.