notebook.community

Edit and run



In [1]:

    
import cPickle, gzip, numpy

# Load the dataset
f = gzip.open('mnist/neural-networks-and-deep-learning/data/mnist.pkl.gz', 'rb')
train_set, valid_set, test_set = cPickle.load(f)
f.close()



In [7]:

    
valid_set[0].shape









    Out[7]:





(10000, 784)