From b51e5f862faeb2df0715b50e05b979c0b5682c0a Mon Sep 17 00:00:00 2001
From: Ankit Podder <50513363+ANKITPODDER2000@users.noreply.github.com>
Date: Wed, 30 Sep 2020 20:36:34 +0530
Subject: [PATCH] Update model.py

---
 model.py | 14 +++++++++++++-
 1 file changed, 13 insertions(+), 1 deletion(-)

diff --git a/model.py b/model.py
index 0b6af47..f8aec21 100644
--- a/model.py
+++ b/model.py
@@ -1,10 +1,17 @@
+#Import section
 import numpy as np
+print("Version of np : " , np.__version__)
 import tensorflow as tf
+print("Version of tensorflow : " , tf.__version__)
 import matplotlib.pyplot as plt
 
 x = np.array([1,2,3,4,5,6,7,9])
 y = x*2+10
 
+#ploting for un-normalize data
+plt.plot(x,y)
+plt.show()
+
 mean_x = x.mean()
 x = x - mean_x
 std_x = x.std()
@@ -15,6 +22,11 @@
 std_y = y.std()
 y = y / std_y
 
+#ploting for normalize data
+plt.plot(x,y)
+plt.show()
+
+
 print("x is : ",x)
 print("y is : ",y)
 
@@ -28,6 +40,6 @@
 import matplotlib.pyplot as plt
 plt.plot(his.history['loss'])
 plt.title("Loss Curve")
-plt.plot()
+plt.show()
 
 print("Prediction : ",(model.predict((np.array([10,20,30,80])-mean_x)/std_x) * std_y)+mean_y)