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Re-implementation of VGG Network in tensorflow

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1.` tf.pack` --->` tf.stack` 2. `tf.softmax_cross_entropy_with_logits(logits, onehot_labels, name='xentropy') `---> `tf.softmax_cross_entropy_with_logits(logits=logits, labels=onehot_labels, name='xentropy') ` 3. add conv3_3 : `net = L.conv(net, name="conv3_3", kh=3, kw=3, n_out=256)`

I hope you describe the environment that you checked. I guess some of the functions that you used are not supported by the current version anymore.

When I ran the code as it is, the accuracy (loss) wasn't that great. Anyone seeing such issues. I changed the batch size to 50. Apart from that no other...

The function MetricsLogger is missing from tools.py

you're applying a relu to your logits https://github.com/huyng/tensorflow-vgg/blob/master/vgg.py#L59

The result is error when predict using model trainning from cifar-10.