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5 years ago

Note: This is a mirror of the official fast.ai notebook for the DSNet Study Group, please refer the official course repo for the latest notebooks.

%load_ext autoreload
%autoreload 2

%matplotlib inline

Does nn.Conv2d init work well?

#export
from exp.nb_02 import *

def get_data():
    path = datasets.download_data(MNIST_URL, ext='.gz')
    with gzip.open(path, 'rb') as f:
        ((x_train, y_train), (x_valid, y_valid), _) = pickle.load(f, encoding='latin-1')
    return map(tensor, (x_train,y_train,x_valid,y_valid))

def normalize(x, m, s): return (x-m)/s