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Sigmoid Neuron – Fundamentals of Neural Networks Part 2
Introduction to Sigmoid Function Previously we have covered Single-Node Perceptron neural networks. The next important topics to study are the sigmoid neuron of a neural network and logistic regression. Sigmoid function is defined as: This function originates in mathematical biology. Various fields have used it long before its adoption in artificial neural networks. Here’s a…
From Cameras to 3D: The Magic of Stereo Vision in Action
Humans and other animals have long been capable of detecting depth in three dimensions with the help of binocular vision. The goal of computer stereo vision is to give a machine the same capabilities. It makes it possible to rebuild a three-dimensional depiction of the environment. In keeping with that, this study will first give…
Single-Node Perceptron: Fundamentals of Neural Networks Part 1
Introduction Neural networks have been part of AI research for quite some time. It all started with a perceptron, which is a simplest Artificial Neural Network. It was introduced in 1958 by Frank Rosenblatt. Despite its simplicity, it serves as a fundamental building block in artificial neural networks and has several practical applications. It excels…
Maslow’s Hierarchy of Needs: Economic and Psychological Growth
Needs and Desires: Their Definition Before diving into the Maslow’s hierarchy of needs and its effects it is important to understand the difference between needs and desires. A need is something essential for the continuation of human activity. For example, without sleep and food, physiological functioning is impossible. Without knowledge, a person can’t make informed…
Understanding the Physics of Running: Treadmill vs Outdoor Runs
Introduction Most current research focuses on runner’s performance on a treadmill rather than outdoors. One should, however, be aware of the differences between running on a treadmill and running outdoors. It seems that both activities are similar. Yet, there are different amounts of work done and different physics of running in each. I tried running…