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so i can be contacted cancel submit feedback saved searches use saved searches to filter your results more quickly name query to see all available qualifiers see our documentation cancel create saved search sign in sign up appearance settings resetting focus you signed in with another tab or window reload to refresh your session you signed out in another tab or window reload to refresh your session you switched accounts on another tab or window reload to refresh your session dismiss alert message carpedm20 dcgan tensorflow public notifications you must be signed in to change notification settings fork 2 6k star 7 2k code issues 182 pull requests 6 actions projects security and quality 0 insights additional navigation options code issues pull requests actions projects security and quality insights carpedm20 dcgan tensorflow master branches tags go to file code open more actions menu folders and files name name last commit message last commit date latest commit history 301 commits 301 commits assets assets web web gitignore gitignore dcgan png dcgan png license license readme md readme md average png average png download py download py main py main py model py model py ops py ops py utils py utils py view all files repository files navigation readme mit license more items dcgan in tensorflow tensorflow implementation of deep convolutional generative adversarial networks which is a stabilize generative adversarial networks the referenced torch code can be found here brandon amos wrote an excellent blog post and image completion code based on this repo to avoid the fast convergence of d discriminator network g generator network is updated twice for each d network update which differs from original paper online demo link prerequisites python 2 7 or python 3 3 tensorflow 0 12 1 scipy pillow tqdm optional moviepy for visualization optional align cropped images zip large scale celebfaces dataset usage first download dataset with python download py mnist celeba to train a model with downloaded dataset python main py dataset mnist input_height 28 output_height 28 train python main py dataset celeba input_height 108 train crop to test with an existing model python main py dataset mnist input_height 28 output_height 28 python main py dataset celeba input_height 108 crop or you can use your own dataset without central crop by mkdir data dataset_name add images to data dataset_name python main py dataset dataset_name train python main py dataset dataset_name example python main py dataset eyes input_fname_pattern _cropped png train if your dataset is located in a different root directory python main py dataset dataset_name data_dir dataset_root_dir train python main py dataset dataset_name data_dir dataset_root_dir example python main py dataset eyes data_dir datasets input_fname_pattern _cropped png train results celeba after 6th epoch after 10th epoch asian face dataset mnist mnist codes are written by phoenixdai more results can be found here and here training details details of the loss of discriminator and generator with custom dataset not celeba details of the histogram of true and fake result of discriminator with custom dataset not celeba related works began tensorflow discogan pytorch simulated unsupervised tensorflow author taehoon kim carpedm20 about a tensorflow implementation of deep convolutional generative adversarial networks carpedm20 github io faces topics tensorflow gan dcgan generative model resources readme license mit license uh oh there was an error while loading please reload this page activity stars 7 2k stars watchers 237 watching forks 2 6k forks report repository releases no releases published packages 0 uh oh there was an error while loading please reload this page uh oh there was an error while loading please reload this page contributors uh oh there was an error while loading please reload this page languages javascript 49 7 python 25 0 html 15 0 css 10 3 footer 2026 github inc footer navigation terms 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