Learn Neural Networks in MATLAB by understanding how to design, train, and evaluate machine learning models inspired by the human brain. This training covers core concepts such as perceptrons, activation functions, feedforward networks, and backpropagation. It also explains how to use MATLAB’s Deep Learning Toolbox to build and train neural networks for classification and regression tasks. You will learn how to prepare datasets, tune hyperparameters, and evaluate model performance. The course focuses on applying neural networks to solve real-world problems in pattern recognition, prediction, and data analysis.
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