1000th update

README.md

@@ -20,7 +20,8 @@ def closure(backward = True):
   preds = model(inputs)
   loss = loss_fn(preds, targets)
 
-  # if you can't call loss.backward() and use gradient-free methods, they always call closure with backward=False.
+  # if you can't call loss.backward(), and instead use gradient-free methods,
+  # they always call closure with backward=False.
   # so you can remove the part below, but keep the unused backward argument.
   if backward:
     optimizer.zero_grad()