Perceptron Courses and Certifications

Krish Naik

Implementation of Perceptron in Deep Learning Using Python from Scratch

Implement a perceptron in Python from scratch, including training, prediction, loss calculation, model saving, and demonstrations of linear separability.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Build a single-neuron perceptron from scratch, tune its weights, manage error, and use it to solve linearly separable data and logic gates.

• Codecademy
• 1 hour
• Self-Paced
• Free Trial Available

Serrano.Academy

Logistic Regression and the Perceptron Algorithm - A Friendly Introduction

A visual, low-math introduction to logistic regression and the perceptron algorithm using email spam classification, decision boundaries, sigmoid activation, and log-loss.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

NPTEL-NOC IITM

Introduction to Neuron and Perceptron: Working Principle - Lecture 1

Explore the working principle of perceptrons in neural networks, laying the foundation for understanding artificial neurons and their role in machine learning.

• YouTube
• 11 minutes
• Self-Paced
• Free Video

UofU Data Science

Machine Learning Fundamentals and Perceptron Algorithm

Dive into fundamental machine learning concepts, from feature vectors to binary classification, culminating in a detailed exploration of the Perceptron algorithm.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

UofU Data Science

Perceptron Algorithm and the Novikoff-Block Mistake-Bound Theorem - Lecture 10

Delve into the Perceptron algorithm and explore the Novikoff-Block mistake-bound theorem through detailed mathematical proofs and comprehensive analysis.

• YouTube
• 1 hour 17 minutes
• Self-Paced
• Free Video

UofU Data Science

Perceptron Algorithm and Mistake Bound Theorem - Lecture 9

Dive into advanced Perceptron concepts and mistake bound theorem, building fundamental understanding of this essential machine learning algorithm.

• YouTube
• 1 hour 20 minutes
• Self-Paced
• Free Video

UofU Data Science

Introduction to the Perceptron Algorithm - Lecture 9

Dive into the fundamentals of Perceptron algorithm, exploring its intuitive principles, variations, and practical applications in neural network development.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

CodeEmporium

Understanding the Perceptron - From Neural Networks to Machine Learning

Explore the foundational concepts of neural networks through the Perceptron algorithm, from basic neuron mechanics to practical implementation details with interactive quizzes and demonstrations.

• YouTube
• 29 minutes
• Self-Paced
• Free Video

CodeEmporium

Multi-Layer Perceptron Explained

Explore the multi-layer perceptron's evolution from basic perceptrons, understanding hidden units, non-linear activation functions, and backpropagation algorithm in this concise explanation with practical examples.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

UofU Data Science

The Perceptron Algorithm - Lecture 8b

Discover the fundamental concepts and implementation of the Perceptron algorithm, a foundational building block in machine learning and neural network development.

• YouTube
• 36 minutes
• Self-Paced
• Free Video

Prodramp

Create and Visualize Your First Perceptron and Feed Forward Network in Python

Build and visualize beginner neural networks in Python, from a perceptron and feed-forward model to a small CNN with Keras and TensorFlow.

• YouTube
• 44 minutes
• Self-Paced
• Free Video

Neural Networks Basics from Scratch

Implement neural networks from scratch without high-level libraries: code the perceptron decision function, step, sigmoid and tanh activations, and backpropagation weight updates to solve XOR.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Neural Networks

Implement perceptrons, activation functions, and backpropagation from scratch to understand how multilayer neural networks work.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate

Coding Train

Neural Networks - The Nature of Code

Dive into neural networks from perceptrons to backpropagation with hands-on coding examples, matrix math, and practical projects like doodle classification.

• YouTube
• 8 hours 48 minutes
• Self-Paced
• Free Video