Coding Neural Networks for Logistic Regression Using Linear Algebra & Numpy
Introduction Neural network’s most basic unit is a neuron. The way neurons interact and work together is the main determinant of the limits of a neural network’s complexity and sophistication. Similar to neurons found in the human brain, once a neuron receives a signal it is capable of combining it through linear regression, transforming it, and producing a new signal that is then received by another neuron. Neural networks are often seen in layers, with neurons in different levels interacting through the weighted attachments....