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fa.bianp.net | ||
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www.ericekholm.com
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| | | | | Learning maximum likelihood estimation by fitting logistic regression 'by hand' (sort of) | |
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www.jeremykun.com
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| | | | | Machine learning is broadly split into two camps, statistical learning and non-statistical learning. The latter we've started to get a good picture of on this blog; we approached Perceptrons, decision trees, and neural networks from a non-statistical perspective. And generally "statistical" learning is just that, a perspective. Data is phrased in terms of independent and dependent variables, and statistical techniques are leveraged against the data. In this post we'll focus on the simplest example of thi... | |
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gregorygundersen.com
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glowingpython.blogspot.com
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| | | In this post we will see how to create a Multi Layer Perceptron (MLP), one of the most common Neural Network architectures, with Keras. Then... | ||
