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Neural Network in pd

A Neural Network patch to approximate the sine curve

patchf

Description

This patch implements a feedforward neural network with two hidden layers, designed to approximate the sine wave function. The input layer allows you to set weights, biases, and input values through various numerical objects. The hidden layers consist of multiple “neuron” subpatches that perform weighted sums, add biases, and apply ReLU activations. The final output is obtained by summing the outputs of the two hidden layers, displaying the neural network’s prediction. Additionally, the patch includes visualization components to plot the functions, providing a representation of the neural network’s performance.

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This post is licensed under CC BY 4.0 by the author.