Gradient Descent Calculator
Calculate gradient descent parameters, convergence rate, effective learning rate, and training time estimates.
Inputs
Results
Steps per Epoch
313
Total Steps
313,000
Effective Learning Rate
0.1
Convergence Rate0
Training Time1.67 minutes
Final Learning Rate0
How to Use This Calculator
- Enter the initial parameter values (weights) and the learning rate (alpha).
- Input the loss function gradient at the current parameters.
- Set the number of iterations to run.
- Review the parameter updates at each step and the loss value trajectory.
- If loss diverges, reduce the learning rate; if convergence is too slow, increase it or use adaptive optimizers.
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Formula
θ_new = θ_old - α × ∇J(θ)Related Calculators
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