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inverseprobability.com | ||
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programminghistorian.org
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| | | | | [AI summary] This article provides an introduction to deep learning for image classification, focusing on its application in the humanities, particularly for analyzing historical newspaper advertisements. The authors discuss the use of transfer learning with pre-trained models like ResNet to improve classification accuracy, as demonstrated through experiments comparing models with and without transfer learning. They also highlight the importance of data preparation, annotation, and the challenges of working with historical data. The article includes practical examples, such as the Newspaper Navigator Dataset, and references to relevant literature and tools like fastai. It concludes with a call for continued support for open-access resources in digital humani... | |
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deepai.org
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| | | | | A field of computer science that aims to teach computers how to learn and act without being explicitly programmed. | |
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www.v7labs.com
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| | | | | Training data is key to success in machine learning. Learn how to select & label data for different types of tasks, such as image classification or object detection. | |
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www.kiuwan.com
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| | | Discover how AI is transforming application security testing by automating processes, enhancing vulnerability detection, and improving overall security in this comprehensive guide. | ||
