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matbesancon.xyz | ||
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jeremykun.wordpress.com
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| | | | | This post is a sequel toFormulating the Support Vector Machine Optimization Problem. The Karush-Kuhn-Tucker theorem Generic optimization problems are hard to solve efficiently. However, optimization problems whose objective and constraints have special structureoften succumb to analytic simplifications. For example, if you want to optimize a linear function subject to linear equality constraints, one can compute... | |
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liorsinai.github.io
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| | | | | A series on automatic differentiation in Julia. Part 1 provides an overview and defines explicit chain rules. | |
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thenumb.at
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attardi.org
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| | | This is the story of how I trained a simple neural network to solve a well-defined yet novel challenge in a real iOS app. The problem is unique, but most of what I cover should apply to any task in any iOS app. That's the beauty of neural networks. | ||
