Mastering Deep Learning: The Art of Approximating Non-Linearities with Piecewise Estimations Part-2

Greetings, everyone! Welcome to the second installment of my Mastering Deep Learning series. This article serves as a continuation of the first part, titled The Art of Approximating Non-Linearities with Piecewise Estimations Part-1. In the first article, we have seen that neural networks combine multiple linear functions of input x to estimate an output y through learning the mapping f(x,ϕ) which maps the input space to the output space. We observed that these mappings are inherently linear, and it …

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