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Learn Perceptron online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Great Learning
This Python with AI course provides a strong foundation in how neural networks work and how they are used to solve machine learning problems. You’ll learn the history behind neural networks, the link between biological and artificial neurons, and the core mechanics of perceptrons, dense networks, a…
Duke University
This course provides a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) and demonstrates how they can solve complex problems in various industries, from medical diagnostics to image…
00:00:00 - Introduction 00:00:15 - Machine Learning 00:01:15 - Supervised Learning 00:08:11 - Nearest-Neighbor Classification 00:12:30 - Perceptron Learning 00:33:19 - Support Vector Machines 00:39:31 - Regression 00:42:37 - Loss Functions 00:49:33 - Overfitting 00:55:44 - Regularization 00:59:42 -…
University of Pennsylvania
Learn how to design robot vision systems that avoid collisions, safely work with humans and understand their environment.
University of Pennsylvania
Delve into the history of deep learning, and explore neural networks like the perceptron, how they function, and what architectures underpin them. Complete short coding assignments in Python.
Great Learning
This free Multilayer Perceptron(MLP) course familiarizes you with the artificial neural network, a vastly used technique across the industry. The course starts by introducing you to neural networks, and you will learn their importance and understand their mechanism. You will then go through various…
RWTH Aachen University
"Deep Learning" gives an overview of the basic types of neural networks and how to train them. Starting with Multi-Layer Perceptrons (MLPs), the course covers the most important training tricks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), as well as Transformers, and giv…
Johns Hopkins University
The course "Mastering Neural Networks and Model Regularization" dives deep into the fundamentals and advanced techniques of neural networks, from understanding perceptron-based models to implementing cutting-edge convolutional neural networks (CNNs). This course offers hands-on experience with real…
In this live stream, I begin the long process of building a neural network library. I cover the concept of a "multi-layer perceptron" as well as linear algebra / matrix math. Timestamps: 30:13 - Intro to Neural Networks 41:38 - Multilayered Perceptron Part 1 1:08:18 - Multilayered Perceptron Part 2…
In this episode, I follow-up on two previous topics. First, I add features to the Perceptron Coding Challenge (https://youtu.be/ntKn5TPHHAk). I also work on refactoring the code of the Frogger Coding Challenge (https://youtu.be/giXV6xErw0Y). Edited videos: Perceptron Follow-up: https://youtu.be/DGx…
Udacity
From theory to application, this course guides you through supervised learning essentials. Learn to select, implement, and refine models that solve complex classification and regression tasks.
In this live stream, I explain the math behind gradient descent from my previous linear regression video. I also begin exploring the content from Session 4 of the "Intelligence and Learning" course. I build a simple Perceptron example in Processing. This video is part of the third and fourth sessio…
Khalifa University
Master modern computer vision through a practical, PyTorch‑first path. In this course you will build, train, and evaluate deep neural networks to solve real‑world image problems. You’ll begin with the end‑to‑end ML workflow and a simple multilayer perceptron (MLP), then learn the core building bloc…
EDUCBA
Build a practical foundation in deep learning and learn to create neural network models with TensorFlow. This course guides you from perceptrons and core neural network principles to model initialization, multiclass classification, convolutional neural networks, and real-world image processing. Thr…
Udacity
This course covers foundational deep learning theory and practice. We begin with how to think about deep learning and when it is the right tool to use. The course covers the fundamental algorithms of deep learning, deep learning architecture and goals, and interweaves the theory with implementation…
Udacity
Develop a strong foundation in Python programming for AI, utilizing tools like NumPy, pandas, and Matplotlib for data analysis and visualization. Learn how to use, build, and train machine learning models with popular Python libraries. Implement neural networks using PyTorch. Gain practical experie…
