Keras Datasets

from keras.datasets import cifar10
(x_train, y_train), (x_test, y_test) = cifar10.load_data()

from keras.datasets import cifar100
(x_train, y_train), (x_test, y_test) = cifar100.load_data(label_mode='fine')

from keras.datasets import imdb
(x_train, y_train), (x_test, y_test) = imdb.load_data(path       = "imdb.npz",
                                                      num_words  = None      ,
                                                      skip_top   = 0         ,
                                                      maxlen     = None      ,
                                                      seed       = 113       ,
                                                      start_char = 1         ,
                                                      oov_char   = 2         ,
                                                      index_from = 3         )

from keras.datasets import reuters
(x_train, y_train), (x_test, y_test) = reuters.load_data(path       = "reuters.npz",
                                                         num_words  = None         ,
                                                         skip_top   = 0            ,
                                                         maxlen     = None         ,
                                                         test_split = 0.2          ,
                                                         seed       = 113          ,
                                                         start_char = 1            ,
                                                         oov_char   = 2            ,
                                                         index_from = 3            )

word_index = reuters.get_word_index(path="reuters_word_index.json")


from keras.datasets import mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()


from keras.datasets import fashion_mnist
(x_train, y_train), (x_test, y_test) = fashion_mnist.load_data()



from keras.datasets import boston_housing
(x_train, y_train), (x_test, y_test) = boston_housing.load_data()


Reference: https://keras.io/datasets/