Carlo Gutierrez is a Technical Writer at Altoros. As part of the editorial team, his focus has been on emerging technologies such as Cloud Foundry, Kubernetes, blockchain, and the Internet of Things. Prior to Altoros, he primarily wrote about enterprise and consumer technology. Carlo has over 12 years of experience in the publishing industry. Previously, he served as an Editor for PC World Philippines and Questex Asia, as well as a Designer for Tropa Entertainment.

Note: The parameters in the neuron are initialized randomly. Get the function value 0.55…, the neural network at this time is an untrained network. The calculation of the gradient is complicated, especially for deep neural networks. Back Propagation Algorithm is an algorithm specifically designed to calculate the gradient of a neural network. Due to its complexity, it will not be described here.

The fundamental principal of Learning is something that is so inherently easy to understand it ends up a challenge to express (almost like the problem of explaining the concept of Left and Right). We Learn every day, hour, and second we complete any form of activity. Even in our daily commute any individual will continuously update, correct, analyze and decipher patterns and situations. In order to understand and adapt to our surroundings we analyze and dissect situations daily. From crossing the road at a certain intersection to changing cashier desk in the supermarket we employ learning techniques continuously.