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constantinides.net | ||
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serengil.wordpress.com
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| | | | | Sigmoid function (aka logistic function) is moslty picked up as activation functionin neural networks.Because its derivative is easy to demonstrate. It produces output in scale of [0 ,1] whereas input is meaningful between [-5, +5]. Out of this range produces same outputs.In this post, we'll mention the proof of the derivative calculation. Sigmoid function is... | |
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www.paepper.com
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| | | | | Recent advances in training deep neural networks have led to a whole bunch of impressive machine learning models which are able to tackle a very diverse range of tasks. When you are developing such a model, one of the notable downsides is that it is considered a "black-box" approach in the sense that your model learns from data you feed it, but you don't really know what is going on inside the model. | |
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www.chrisritchie.org
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simonharling.blog
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| | | Why lead a horse to water if it's not going to drink? Find the people who have done it before and are willing to do it again. That's it. | ||
