Mathematical Foundations of Backpropagation in Neural Network
Pickl AI
NOVEMBER 13, 2024
Summary: Backpropagation in neural network optimises models by adjusting weights to reduce errors. Despite challenges like vanishing gradients, innovations like advanced optimisers and batch normalisation have improved their efficiency, enabling neural networks to solve complex problems.
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