minor

1 files changed, 3 insertions, 4 deletions

diff --git a/posts/2019-03-14-great-but-manageable-expectations.md b/posts/2019-03-14-great-but-manageable-expectations.md
index 95cf5f2..5ed5134 100644
--- a/posts/2019-03-14-great-but-manageable-expectations.md
+++ b/posts/2019-03-14-great-but-manageable-expectations.md
@@ -521,14 +521,13 @@ Tensorflow implementation
 The DP-SGD is implemented in [TensorFlow
 Privacy](https://github.com/tensorflow/privacy). In the following I
 discuss the package in the current state (2019-03-11). It is divided
-into two parts: `optimizers` which implements the actual differentially
-private algorithm, and [`analysis`](https://github.com/tensorflow/privacy/tree/master/privacy/analysis) which computes the privacy guarantee.
+into two parts: [`optimizers`](https://github.com/tensorflow/privacy/tree/master/privacy/optimizers) which implements the actual differentially
+private algorithms, and [`analysis`](https://github.com/tensorflow/privacy/tree/master/privacy/analysis) which computes the privacy guarantee.
 
 The `analysis` parts implements a privacy ledger that \"keeps a record
 of all queries executed over a given dataset for the purpose of
 computing privacy guarantees\". On the other hand, all the computation
-is done in `rdp_accountant.py`
-([link](https://github.com/tensorflow/privacy/blob/7e2d796bdee9b60dce21a82a397eefda35b0ac10/privacy/analysis/rdp_accountant.py).
+is done in [`rdp_accountant.py`](https://github.com/tensorflow/privacy/blob/7e2d796bdee9b60dce21a82a397eefda35b0ac10/privacy/analysis/rdp_accountant.py).
 At this moment, `rdp_accountant.py` only implements the computation of
 the privacy guarantees for DP-SGD with Gaussian mechanism. In the
 following I will briefly explain the code in this file.