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The input of each layer (e.g., Dense layer and Conv layer) except "Input layer" must be a `Layer` instance.
I think this behavior is not so transparent to TensorFlow.
In the case that I want to use a…
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Hi, I am using TensorLayer with Tensorflow to accomplish some classification task.
Basically I use cross validation technique to gain some trustworthy results. The outline of my code is: first get di…
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hi, @zsdonghao
in tensorlayer/example/tutorial_cifar10_tfrecord.py, there is
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network.outputs = tf.nn.lrn(network.outputs, 4, bias=1.0, alpha=0.001 / 9.0,
…
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On windows `pip install tensorflow` puts `imagenet_classes.py` into `site-packages/data`.
This seems like a pretty generic package name to write into... Was this intended?
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Thank you for providing such a powerful but user-friendly wrapper. Is there any example for resnet in which the network cannot be constructed by simply stacking layer by layer, by using tl.layer?
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When I import a slim model, e.g. vgg16, network.all_drop shows {}, but there should be some dropout layers in the model. Is this a bug?
Thanks a lot!
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I want to load the pretrained AlexNet model bvlc_alexnet.npy, and I know using np.load('bvlc_alexnet.npy') can get some numpy array of weights and bias. (Like net = np.load('bvlc_alexnet.npy'), net["c…
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The ReconLayer.pretrain() function has hard coded visualize.W() shape to be 28*28, so if we change the training data shape it will crash.
This shape should be drawn from the input data.
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Hi everyone, I found a interesting thing but I don't know the reason.
When I restore a CNN network with `BatchNormLayer` from npz file, the accuracy is slightly different, my code as attached. Hope s…
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I am learning GANs. I want to keep some variable not trained during my training epochs. So I just use minimize function and pass network.all_params to parameter var_list.
But I get No gradients prov…