Neural Networks for Electronics Hobbyists: A Non-Technical Project-Based Introduction

© Richard McKeon 2018

Richard McKeonNeural Networks for Electronics Hobbyistshttps://doi.org/10.1007/978-1-4842-3507-2_5

5. Training with Back Propagation

Richard McKeon¹ 

(1)

Prescott, Arizona, USA

 

What does it mean to “train” a neural network? The network model we are using “learns” or gets better at its task by adjusting its connection strengths. We will strengthen those signals that tend to contribute to a right answer, and weaken those signals that tend toward a wrong answer. We do this by adjusting the potentiometer that lies in the path of each signal. It’s kind of like changing the conductive environment in a neuron’s synapse. To accomplish this, we will simply increase or decrease the voltage in question by 0.2V. That’s our method of implementing ...