diff --git a/tensorflow/python/keras/optimizer_v2/adam.py b/tensorflow/python/keras/optimizer_v2/adam.py
index 29d3beea2b4..f9ff0a98e9d 100644
--- a/tensorflow/python/keras/optimizer_v2/adam.py
+++ b/tensorflow/python/keras/optimizer_v2/adam.py
@@ -32,16 +32,16 @@ class Adam(optimizer_v2.OptimizerV2):
   """Optimizer that implements the Adam algorithm.
 
   Adam optimization is a stochastic gradient descent method that is based on
-  adaptive estimation of first-order and second-order moments. According to the
-  reference, the method is 'computationally efficient, has little memory
+  adaptive estimation of first-order and second-order moments.
+  According to the paper 
+  [Adam: A Method for Stochastic Optimization. Kingma et al., 
+  2014](http://arxiv.org/abs/1412.6980),
+   the method is "*computationally efficient, has little memory
   requirement, invariant to diagonal rescaling of gradients, and is well suited
-  for problems that are large in terms of data/parameters'.
+  for problems that are large in terms of data/parameters*".
 
-  # References
-      See [Kingma et al., 2014](http://arxiv.org/abs/1412.6980)
-        ([pdf](http://arxiv.org/pdf/1412.6980.pdf)).
-      For AMSGrad see [Reddi et al., 2-18]
-        (https://openreview.net/pdf?id=ryQu7f-RZ)
+  For AMSGrad see [On The Convergence Of Adam And Beyond. 
+  Reddi et al., 5-8](https://openreview.net/pdf?id=ryQu7f-RZ).
   """
 
   def __init__(self,