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⚜️Neural network course session four::
4️⃣Perceptron Learning Rule
🔵In this MATLAB tutorial video, we dive into the fundamentals of the Perceptron Learning Rule, a powerful algorithm for training single-layer neural networks. Through practical examples and step-by-step explanations, you'll learn how to implement the Perceptron Learning Rule in MATLAB to solve linearly separable classification problems.
We cover key concepts such as:
✅Perceptron architecture and decision boundaries
✅Supervised learning and training sets
✅Weight and bias updates using the Perceptron Learning Rule
✅Convergence and limitations of the Perceptron network
🔻YouTube: third session
Download file and codes (in comment)::
🔹Telegram:
🆔 @MATLAB_House
@MATLABHOUSE
#MATLAB #MachineLearning #NeuralNetworks #PerceptronLearningRule #AI #ArtificialIntelligence #DeepLearning #DataScience #Programming #Tutorial
4️⃣Perceptron Learning Rule
🔵In this MATLAB tutorial video, we dive into the fundamentals of the Perceptron Learning Rule, a powerful algorithm for training single-layer neural networks. Through practical examples and step-by-step explanations, you'll learn how to implement the Perceptron Learning Rule in MATLAB to solve linearly separable classification problems.
We cover key concepts such as:
✅Perceptron architecture and decision boundaries
✅Supervised learning and training sets
✅Weight and bias updates using the Perceptron Learning Rule
✅Convergence and limitations of the Perceptron network
🔻YouTube: third session
Download file and codes (in comment)::
🔹Telegram:
🆔 @MATLAB_House
@MATLABHOUSE
#MATLAB #MachineLearning #NeuralNetworks #PerceptronLearningRule #AI #ArtificialIntelligence #DeepLearning #DataScience #Programming #Tutorial