Batchboost: Regularization for Stabilizing Training With Resistance to Underfitting & Overfitting | Synced
Batchboost is a simple technique to accelerate ML model training by adaptively feeding mini-batches with artificial samples which are created by mixing two examples from the previous step – i...
Source: Synced | AI Technology & Industry Review
Batchboost is a simple technique to accelerate ML model training by adaptively feeding mini-batches with artificial samples which are created by mixing two examples from the previous step – in favor of pairing those that produce the difficult one.