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Stochastic Gradient Descent update and the intuition behind it
Training a neural network involves some form of optimisation (minimisation) of an objective function. The root strategy from which all...
l.cristian
Dec 1, 20201 min read
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How can you visualise stochastic gradient descent in action?
I’ve just stumbled upon this wiki page which describes optimisation methods that can be used for optimising functions (or programs) where...
l.cristian
May 30, 20201 min read
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On Cross Entropy
This post tries to implement it in pure python to better understand it’s inner workings and then compare it to other popular...
l.cristian
Jan 20, 20201 min read
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Drawing data on a map
The goal for today is to make a chart.
l.cristian
Nov 18, 20191 min read
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SSA - Singular Spectrum Analisys
We have some data. Our goal for today would be to find the cyclical pattern that the data presents.
l.cristian
Nov 11, 20191 min read
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