Update optimizers.py
typo fix.
@@ -405,7 +405,7 @@ class Adam(Optimizer):
beta_2: float, 0 < beta < 1. Generally close to 1.
epsilon: float >= 0. Fuzz factor. If `None`, defaults to `K.epsilon()`.
decay: float >= 0. Learning rate decay over each update.
- amsgrad: boolean. Weather to apply the AMSGrad variant of this
+ amsgrad: boolean. Whether to apply the AMSGrad variant of this
algorithm from the paper "On the Convergence of Adam and
Beyond".
