Optimization Algorithms
➺ Modern Optimizers:
➺ Technical Implementation:
Adam Variants
Learning rate: 1e-4 to 1e-3
Beta1: 0.9 (momentum)
Beta2: 0.999 (variance)
Epsilon: 1e-8 (stability)
Advanced Optimizers
AdaBelief
Rectified Adam
AdaGrad
LAMB for large batches
Gradient Processing
Gradient clipping
Gradient accumulation
Gradient centralization
Gradient noise scale