Skip to content

drv-agwl/Face-Generation-Using-DCGANs

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

98 Commits
Model Architecture images_deeper_network
Model Architecture images_deeper_network
 
 
Model Architecture images_deeper_network_with_noise_in_real_and_fake_labels
Model Architecture images_deeper_network_with_noise_in_real_and_fake_labels
 
 
Model Architecture transposed_convolutions
Model Architecture transposed_convolutions
 
 
Model Architecture
Model Architecture
 
 
Model Archuitecture images_deeper_network_with_noise_in_real_fake_labels_and_input_images
Model Archuitecture images_deeper_network_with_noise_in_real_fake_labels_and_input_images
 
 
images
images
 
 
images_deeper_network
images_deeper_network
 
 
images_deeper_network_with_noise_in_real_and_fake_labels
images_deeper_network_with_noise_in_real_and_fake_labels
 
 
images_deeper_network_with_noise_in_real_fake_labels_and_input_images
images_deeper_network_with_noise_in_real_fake_labels_and_input_images
 
 
images_transposed_convolutions
images_transposed_convolutions
 
 
DC_GANs_for_3_channel_images.ipynb
DC_GANs_for_3_channel_images.ipynb
 
 
DC_GANs_for_3_channel_images_deeper_network.ipynb
DC_GANs_for_3_channel_images_deeper_network.ipynb
 
 
DC_GANs_for_3_channel_images_deeper_network_with_noise_in_real_and_fake_labels.ipynb
DC_GANs_for_3_channel_images_deeper_network_with_noise_in_real_and_fake_labels.ipynb
 
 
DC_GANs_for_3_channel_images_deeper_network_with_noise_in_real_fake_labels_ and_input_images.ipynb
DC_GANs_for_3_channel_images_deeper_network_with_noise_in_real_fake_labels_ and_input_images.ipynb
 
 
DC_GANs_for_3_channel_images_with_Transposed_Convolutions.ipynb
DC_GANs_for_3_channel_images_with_Transposed_Convolutions.ipynb
 
 
README.md
README.md
 
 

Repository files navigation

Face-Generation-Using-DCGANs

Run the First Section of any of the Notebook to download and extract the Celebrity Dataset in the current working directory

                                            OR

Download and extract the dataset manually from this link and put the files in this structure

-/DC_GANs_for_3_channel_images.ipynb
-/100k
--/1.jog
--/2.jpg

Run all the cells of the notebook to train on 100,000 batches of images

Best Results From Each Notebook

Each Batch Contains 64 randomly selected images from the dataset

Best Results from the Shallow Network

alt text

Best Results from the Deeper Network

alt text

Best Results from the Deeper Network with Noise in Real and Fake Labels

alt text

Best Results from the Deeper Network with Noise in Real, Fake Labels and Input Image

alt text

Best Results from the Deep Network with Transposed Convolutions

alt text

About

No description, website, or topics provided.

Resources

Readme
Activity

Stars

0 stars

Watchers

0 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages