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How Neural Network Depth Affects Training Loss: Insights and Practical Lessons
- Neural network depth significantly affects training loss.
- Weights are initialized randomly using Gaussian noise.
- Performance metrics are computed using mean squared error.
- The direction of weights is adjusted opposite to the gradient to reduce loss.
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