From 40dd229e9d99fc7934aaf2c4ee00f3aed07a5ee8 Mon Sep 17 00:00:00 2001
From: Bhavin000 <39612722+Bhavin000@users.noreply.github.com>
Date: Thu, 1 Oct 2020 10:34:39 +0530
Subject: [PATCH] Update ann.py

---
 ANN/ann.py | 13 +++----------
 1 file changed, 3 insertions(+), 10 deletions(-)

diff --git a/ANN/ann.py b/ANN/ann.py
index 94c2a45..0ddae72 100644
--- a/ANN/ann.py
+++ b/ANN/ann.py
@@ -1,3 +1,4 @@
+                                                ### tensorflow 2.0 ###
 # Artificial Neural Network
 
 
@@ -37,12 +38,8 @@
 # Part 2 - Now let's make the ANN!
 
 # Importing the Keras libraries and packages
-import keras
-from keras.models import Sequential
-from keras.layers import Dense
-from keras.layers import LeakyReLU,PReLU,ELU
-from keras.layers import Dropout
-
+from tensorflow.keras.models import Sequential
+from tensorflow.keras.layers import Dense
 
 # Initialising the ANN
 classifier = Sequential()
@@ -65,8 +62,6 @@
 
 print(model_history.history.keys())
 # summarize history for accuracy
-plt.plot(model_history.history['acc'])
-plt.plot(model_history.history['val_acc'])
 plt.title('model accuracy')
 plt.ylabel('accuracy')
 plt.xlabel('epoch')
@@ -74,8 +69,6 @@
 plt.show()
 
 # summarize history for loss
-plt.plot(model_history.history['loss'])
-plt.plot(model_history.history['val_loss'])
 plt.title('model loss')
 plt.ylabel('loss')
 plt.xlabel('epoch')