image_output_1.png
from keras.preprocessing.image import ImageDataGenerator, load_img, img_to_array

import matplotlib.pyplot as plt

train_path = '../input/100-bird-species/285 birds/train'
test_path = '../input/100-bird-species/285 birds/test'
validation_path = '../input/100-bird-species/285 birds/valid'

img = load_img(train_path + '/ANHINGA/001.jpg')
plt.axis('off')
img = load_img(train_path + '/BALD EAGLE/018.jpg')
plt.axis('off')

fig, axs = plt.subplots(2, 2, figsize=(8, 8))
axs[0, 0].imshow(load_img(train_path + '/BARN OWL/018.jpg'))
axs[0, 0].axis('off')
axs[0, 1].imshow(load_img(train_path + '/ALBATROSS/001.jpg'))
axs[0, 1].axis('off')
axs[1, 0].imshow(load_img(train_path + '/CANARY/107.jpg'))
axs[1, 0].axis('off')
axs[1, 1].imshow(load_img(train_path + '/CROW/100.jpg'))
axs[1, 1].axis('off')
plt.show()