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