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www.oranlooney.com | ||
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michael-lewis.com
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| | | | | This is a short summary of some of the terminology used in machine learning, with an emphasis on neural networks. I've put it together primarily to help my own understanding, phrasing it largely in non-mathematical terms. As such it may be of use to others who come from more of a programming than a mathematical background. | |
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francisbach.com
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pablormier.github.io
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| | | | | an example of a blog post with disqus comments | |
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pyimagesearch.com
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| | | In this tutorial, you will learn what gradient descent is, how gradient descent enables us to train neural networks, variations of gradient descent, including Stochastic Gradient Descent (SGD), and how SGD can be improved using momentum and Nesterov acceleration. | ||
