From bc6f7acf9f9b0f1b627dbd0cd44372cdae752f84 Mon Sep 17 00:00:00 2001
From: "Dr. Mia von Steinkirch"
 <1130416+F4DELEGATECALL@users.noreply.github.com>
Date: Thu, 13 Oct 2022 10:54:42 -0700
Subject: [PATCH] =?UTF-8?q?=F0=9F=8D=95=20cleanup=20readme,=20PoC:=20K8s?=
 =?UTF-8?q?=20Quantum=20Tensorflow=20Machine=20Learning=20deployment=20in?=
 =?UTF-8?q?=20K8s?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 README.md | 9 +++++++--
 1 file changed, 7 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 0d712c7..967cdd7 100644
--- a/README.md
+++ b/README.md
@@ -1,5 +1,6 @@
-# Tensorflow Quantum + K8s
+# PoC: K8s Quantum Tensorflow Machine Learning deployment in K8s
 
+<br>
 
 ## Theoretical Introduction
 
@@ -22,6 +23,8 @@
 
 --- 
 
+<br>
+
 ## Steps:
 
 ### Prepare a quantum dataset
@@ -57,7 +60,7 @@
 - After evaluating the cost function, the free parameters in the pipeline should be updated in a direction expected to decrease the cost.
 - This is most commonly performed via gradient descent.
 
-
+<br>
 
 -----
 
@@ -69,6 +72,8 @@
 * [TensorFlow Quantum](https://github.com/tensorflow/quantum/blob/master/docs/install.md).
 
 
+<br>
+
 ----
 
 ### References