TechTowards Data Scienceabout 20 hours ago
Backpropagation intuition built step by step
1 min read
A tutorial builds backpropagation intuition from scratch using a neural network with one hidden layer and two neurons. The loss function is Mean Squared Error. The chain rule is introduced to compute partial derivatives of loss with respect to seven parameters. The goal is minimizing loss by adjusting weights and biases.
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