Animations of Neural Networks Transforming Data

And we can have a better intuition about why and how neural networks work

Angela and Kezhan Shi
Towards Data Science
5 min readSep 18, 2020

--

When it comes to classification algorithms, the explanation can be intuitive about how they work:

  • Logistic Regression and SVM find a hyperplane to “cut” the space into two. (But the approach of these two algorithms is different, so the final hyperplane is different.)
  • In case the data are not linearly separable, with the kernel trick, SVM transforms the data into a space of

--

--

data science and machine learning enthusiasts, dedicated to simplifying complex concepts in a clear way.