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Getting Started with Neural Networks Using MATLAB

Getting Started with Neural Networks Using MATLAB

Walk through an example that shows what neural networks are and how to work with them in MATLAB. The video outlines how to train a neural network to classify human activities based on sensor data from smartphones.

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A neural network learns by continuously adjusting its parameters - the weights and biases - to improve its prediction accuracy. These parameters are tweaked upward or downward based on how far the model’s predictions deviate from the actual results. The difference between the predicted output and the true value is measured using a loss function, which quantifies the error. To minimize this error, the model uses backpropagation, an algorithm that calculates the gradients (partial derivatives of t

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A neural network learns by continuously adjusting its parameters - the weights

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