Neural Networks from scratch
Problem
Build a basic neural network from scratch to fit a simple dataset
Given
A simple dataset X along with its labels, of dimensions 12X1 is given X = [[-1.51], [-1.29], [-1.18], [-0.64], [-0.53], [-0.09], [ 0.13], [ 0.35], [ 0.89], [ 1.11], [ 1.33], [ 1.44]]
y = [[0], [0], [0], [0], [1], [1], [1], [1], [0], [0], [0], [0]]
Goal
Define a neural network architecture to fit the values in the dataset