Description: The code is practical to generate combat network beginners practice, there is a very detailed code introduction, dry
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adversarial-master
adversarial-master\.gitignore
adversarial-master\LICENSE
adversarial-master\README.md
adversarial-master\__init__.py
adversarial-master\cifar10_convolutional.yaml
adversarial-master\cifar10_fully_connected.yaml
adversarial-master\deconv.py
adversarial-master\ll.py
adversarial-master\ll_mnist.py
adversarial-master\mnist.yaml
adversarial-master\parzen_ll.py
adversarial-master\sgd.py
adversarial-master\sgd_alt.py
adversarial-master\show_gen_weights.py
adversarial-master\show_inpaint_samples.py
adversarial-master\show_samples.py
adversarial-master\show_samples_cifar_conv_paper.py
adversarial-master\show_samples_cifar_full_paper.py
adversarial-master\show_samples_inpaint.py
adversarial-master\show_samples_mnist_paper.py
adversarial-master\show_samples_tfd.py
adversarial-master\show_samples_tfd_paper.py
adversarial-master\test_deconv.py
adversarial-master\tfd_pretrain
adversarial-master\tfd_pretrain\pretrain.yaml
adversarial-master\tfd_pretrain\train.yaml
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