Summary of Deep Learning with Cnns: a Compact Holistic Tutorial with Focus on Supervised Regression (preprint), by Yansel Gonzalez Tejeda and Helmut A. Mayer
Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)
by Yansel Gonzalez Tejeda, Helmut A. Mayer
First submitted to arxiv on: 22 Aug 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This tutorial provides a comprehensive and accessible introduction to Deep Learning, with a focus on Convolutional Neural Networks (CNNs) and supervised regression. The authors present a holistic discussion of key concepts, covering both foundational and advanced topics in a single resource. Unlike many existing resources, this tutorial aims to strike a balance between being both detailed and agile, making it an optimal learning tool for students, professors, and enthusiasts alike. By exploring the synergy between learning theory, statistics, and machine learning, the authors demonstrate how these disciplines underpin the Deep Learning and CNN frameworks. This tutorial is accompanied by a publicly available repository on GitHub, providing readers with a valuable resource for understanding the foundations of Deep Learning. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This tutorial teaches you about Deep Learning, which is a way that computers learn from data. It’s like how humans learn from experiences. The tutorial focuses on something called Convolutional Neural Networks (CNNs) and shows you how they work with pictures. You’ll also learn about how to use these networks to make predictions or classify things. What makes this tutorial special is that it covers all the important ideas in a single resource, making it easy to understand for anyone interested in learning about Deep Learning. |
Keywords
» Artificial intelligence » Cnn » Deep learning » Machine learning » Regression » Supervised
