improved-gan
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openai
Code for the paper "Improved Techniques for Training GANs"
I don't know if this question belongs here, but I am currently making a custom tf keras gan with feature matching loss and I am struggling to understand when to...
With Tensorflow 1.6.0, the line `pred = sess.run(softmax, {'ExpandDims:0': inp})` raises an error because the input to the softmax in the Inception classifier expects a batch dimension of 1: ```...
What's the meaning of the parameter splits(default=10)? Can we choose an appropriate splits according to the obtained inception_score
I fix the inception score to work with arbitrary batch sizes in the last tensorflow version. Closes: #32
What is `f2`? I think `f1` is the whole thing based on the definition in the paper. Moreover, the second one will give a empty slice, which will give a...
github:https://github.com/daixiangzi/ImprovedGan-pytorch
The loss with regard to the unlabeled data `l_unl` is defined as: `loss_unl = -0.5*T.mean(l_unl) + 0.5*T.mean(T.nnet.softplus(l_unl)) + 0.5*T.mean(T.nnet.softplus(l_gen))` But the first term contradicts with the second term, which obsess...
In [1]: from model import DCGAN Traceback (most recent call last): File "/home/marcinic/miniconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py", line 2910, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 1, in from model import DCGAN File...
the input of Inception is zero meaned(see part 5in [the paper](https://www.cs.unc.edu/~wliu/papers/GoogLeNet.pdf) ). but the code has a condition ` assert(np.max(images[0]) > 10)` ` assert(np.min(images[0]) >= 0.0)` can you explain the...
hello, when I run the bash train_imagenet.sh, here is an issue: TRAINING train_imagenet.sh: line 5: 4668 Segmentation fault CUDA_VISIBLE_DEVICES=0 python train_${word}.py --dataset imagenet_train --is_train True --checkpoint_dir gan/checkpoint_${word} --image_size ${pixels} --is_crop...
