What is a Perceptron? – Basics of Neural Networks

What is a Perceptron?  – Basics of Neural Networks

An overview of the history of perceptrons and how they work. I have decided it was my turn to get my feet wet in the world of AI. Recently, I decided to start my journey by taking a course on Udacity called, Deep Learning with PyTorch. In this post, we will briefly address each of these questions.

A single-layer perceptron is the basic unit of a neural network. A perceptron consists of input values, weights and a bias, a weighted sum and activation function.

In the last decade, we have witnessed an explosion in machine learning technology. From personalized social media feeds to algorithms that can remove objects from videos. Like a lot of other self-learners, I have decided it was my turn to get my feet wet in the world of AI. Recently, I decided to start my journey by taking a course on Udacity called, Deep Learning with PyTorch. Naturally, this article is inspired by the course and I highly recommend you check it out!

If you have taken the course, or read anything about neural networks one of the first concepts you will probably hear about is the perceptron. But what is a perceptron and why is it used? How does it work? What is the history behind it? In this post, we will briefly address each of these questions.

A little bit of history

The perceptron was first introduced by American psychologist, Frank Rosenblatt in 1957 at Cornell Aeronautical Laboratory (here is a link to the original paper if you are interested). Rosenblatt was heavily inspired by the biological neuron and its ability to learn. Rosenblatt’s perceptron consists of one or more inputs, a processor, and only one output.

machine-learning neural-networks deep-learning perceptron artificial-intelligence

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

Artificial Intelligence, Machine Learning, Deep Learning 

Artificial Intelligence (AI) will and is currently taking over an important role in our lives — not necessarily through intelligent robots.

AI(Artificial Intelligence): The Business Benefits of Machine Learning

Enroll now at CETPA, the best Institute in India for Artificial Intelligence Online Training Course and Certification for students & working professionals & avail 50% instant discount.

Deep Learning 101 —  Neural Networks Explained

The past few decades have witnessed a massive boom in the penetration as well as the power of computation, and amidst this information.

Deep Learning Explained in Layman's Terms

Deep Learning Explained in Layman's Terms. In this post, you will get to learn deep learning through a simple explanation (layman terms) and examples.

Perceptron to Multi-layered Feedforward Neural Network

This article will help you understand the transition of AI from classical machine learning to deep learning, starting from the basics of machine learning with its major - supervised and unsupervised learning to different regularization and optimization techniques.