Apiquet/fcn_from_scratch

Implement gradient descent using the differential approach (2D example), using the perturbation approach (3D example), in a neural network implementation from scratch using only numpy

gradient_descent

Project: https://apiquet.com/2020/03/28/neural-net-from-scratch-part-1/

This repository is to get familiar with gradient descent for known and unknown functions in 2D and 3D.

Here are some examples:

• Differential approach

• Perturbation approach