Perceptron Courses and Certifications

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

Schmid College, Chapman University

The Perceptron as a Roadmap - From Neuron Structure to Artificial Neural Networks

Explore the evolution of neural networks from biological neurons to machine learning, using the perceptron as a guide. Uncover connections to associative memories, function approximation, and surprising mathematical links.

• YouTube
• 1 hour 25 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

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

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

AI Doctoral Academy

Deep Learning - Artificial Neural Networks and Perceptron - Lecture 2

Discover artificial neural networks and perceptron fundamentals in this focused deep learning lecture by Prof. Pitas.

• YouTube
• 46 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

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

Neural Networks Basics from Scratch

Master neural network fundamentals by building core AI components from scratch, including perceptrons, activation functions, and backpropagation - all without relying on high-level libraries.

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

Neural Networks

Master neural network fundamentals by implementing perceptrons, activation functions, and backpropagation from scratch in C++ without high-level libraries.

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

Deep Learning Essentials

Explore neural networks, perceptrons, and deep learning fundamentals. Master backpropagation, stochastic gradient descent, and kernel methods through Python coding assignments.

• Coursera
• 15 hours 41 minutes
• Self-Paced
• Paid Course

Mastering Neural Networks and Model Regularization

Dive deep into neural networks, from perceptrons to CNNs. Build models from scratch, master regularization techniques, and apply PyTorch for image and audio processing tasks.

• Coursera
• 16 hours 3 minutes
• Self-Paced
• Paid Course

Introduction to Artificial Neural Network and Deep Learning

1979 ratings at Udemy

The Best Machine Learning Techniques for Data Science in Java and Neuroph with Application in Image Recognition

• Udemy
• 7 hours 3 minutes
• Self-Paced
• Paid Course