MATLAB Code | Neural Network Training Results Explained (Simulation and Error Analysis)
This short video focuses on the simulation results of the neural network training discussed in the previous lecture. We examine the network’s output, compare it with the true function, and analyze how the error evolves during training.
The goal here is not to derive equations again, but to interpret the results and understand what successful learning looks like in practice. This video completes the numerical example by showing how the mathematics translates into observable behavior.
Note: Due to a limitation of the built-in Windows screen recording tool, only the MATLAB editor window was captured in the previous video. The plots and numerical results were therefore not visible. This separate follow-up video has been added where all results and visualizations are shown—please refer to that video for learning the programming and code of neural networks.
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