From 03a2f5629f4024a3d01d6d5fb87ed6a784e62bd3 Mon Sep 17 00:00:00 2001 From: Vineet Jain Date: Wed, 1 Apr 2020 18:10:46 +0530 Subject: [PATCH 1/2] correcting import as oldone works only for keras<=2.2.4 --- cnn_class2/use_pretrained_weights_vgg.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/cnn_class2/use_pretrained_weights_vgg.py b/cnn_class2/use_pretrained_weights_vgg.py index 01cbd619..78888a2b 100644 --- a/cnn_class2/use_pretrained_weights_vgg.py +++ b/cnn_class2/use_pretrained_weights_vgg.py @@ -10,7 +10,7 @@ from keras.applications.vgg16 import VGG16 from keras.applications.vgg16 import preprocess_input from keras.preprocessing import image -from keras.preprocessing.image import ImageDataGenerator +from tensorflow.keras.preprocessing.image import ImageDataGenerator from sklearn.metrics import confusion_matrix import numpy as np @@ -179,4 +179,4 @@ def get_confusion_matrix(data_path, N): from util import plot_confusion_matrix plot_confusion_matrix(cm, labels, title='Train confusion matrix') -plot_confusion_matrix(valid_cm, labels, title='Validation confusion matrix') \ No newline at end of file +plot_confusion_matrix(valid_cm, labels, title='Validation confusion matrix') From f1c88f1e5a2df934a325c18007dcfea5d093757d Mon Sep 17 00:00:00 2001 From: Vineet Jain Date: Wed, 1 Apr 2020 19:37:16 +0530 Subject: [PATCH 2/2] correcting dictionary keys --- cnn_class2/use_pretrained_weights_vgg.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/cnn_class2/use_pretrained_weights_vgg.py b/cnn_class2/use_pretrained_weights_vgg.py index 78888a2b..bcad87e8 100644 --- a/cnn_class2/use_pretrained_weights_vgg.py +++ b/cnn_class2/use_pretrained_weights_vgg.py @@ -172,8 +172,8 @@ def get_confusion_matrix(data_path, N): plt.show() # accuracies -plt.plot(r.history['acc'], label='train acc') -plt.plot(r.history['val_acc'], label='val acc') +plt.plot(r.history['accuracy'], label='train acc') +plt.plot(r.history['val_accuracy'], label='val acc') plt.legend() plt.show() pFad - Phonifier reborn

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