test_set = test_datagen.flow_from_directory(
'F:/PYTHON/2018 ieee/Brest cancer/breast cancer/breast cancer/train',
target_size=(64, 64),
batch_size=32,
class_mode='binary')
# In[156]:
classifier.fit_generator(training_set,
steps_per_epoch=None,
epochs=100,
verbose=1,
callbacks=None,
validation_data=test_set,
validation_steps=None,
class_weight=None,
max_queue_size=10,
workers=1,
use_multiprocessing=False,
shuffle=True,
initial_epoch=0)
# In[158]:
import numpy as np
from keras.preprocessing import image
test_image = image.load_img(
'F:/PYTHON/2018 ieee/Brest cancer/breast cancer/breast cancer/test/cancer/6.jpg',
target_size=(64, 64))
test_image
