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Convolutional Neural Network for German Traffic Sign Recognition Benchmark

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Added the Section illustrating how to use GTSRB dataset using Hub library with a single line of code.

Notebook cell 👇🏼 ``` bs = 256 aug_tfms = [RandomRotate(20), RandomLighting(0.8, 0.8)] tfms = tfms_from_model(arch, sz, aug_tfms=aug_tfms, max_zoom=1.2) data = ImageClassifierData.from_paths(path, tfms=tfms, test_name='test', bs=bs) ims = np.stack([get_augs() for i in...

env: Ubuntu 16.04 x64, Python 3.6.6, Pytorch 0.2.0, web.py 0.40.dev0 NameError Traceback (most recent call last) in () 3 aug_tfms = [RandomRotate(20), RandomLighting(0.8, 0.8)] 4 tfms = tfms_from_model(arch, sz, aug_tfms=aug_tfms,...

It is hard to view notebook in nbviewer as there is too long output of the third cell. Possibly it is better to add -q in unzip command.