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ResNet model in TensorFlow

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always inform me of _different tensor name not found_ error every time I press `run`. For example, 1. `NotFoundError (see above for traceback): Tensor name "scale5/block3/c/scale5/block3/c/moving_variance/biased" not found in checkpoint...

First, when I use the inference() in resnet.py, assert will have an error, then I remove the assert, just give a assignment, and another error occurs, the shape of shortcut...

I think that there is a small mistake when defining the 'bottleneck' structure in the block function . In your code, three 1x1 conv layers ('a', 'b', 'c') are used...

hi! this project will worke clearly?

is there anyone have successfully load the pretrained model in code? I have no idea about it. I have tried : saver1 = tf.train.import_meta_graph(pretrained_meta) saver1.restore(sess, pretrained_ckpt) but it tells me...

hello, when I run `convert.py`, I get error: ``` File "convert.py", line 169, in parse_tf_varnames scale_num = int(m.group(1)) AttributeError: 'NoneType' object has no attribute 'group' ``` how to fix it?

hey, what command should I run to do a classification or object recognition on a pre-trained model given to us in the torrent file? ``` [jalal@scc-c01 MHRN]$ tree tensorflow-resnet-pretrained-20160509 tensorflow-resnet-pretrained-20160509...

I noticed train_cifar would fail because resnet.inference_small() would not return anything. Additionally, this codebase is not up to date with the changes made in the latest few tensorflow releases (1.0...