sauradip / DC-GANS-Tensorflow-Jupyter-Notebook

This is a Simple Implementation of Existing DC GANS (https://github.com/carpedm20/DCGAN-tensorflow ) but in Jupyter Notebook version for easy visualization of Errors and Tensor Dimensions

DC GANS Tensorflow Jupyter Notebook

This is a Simple Implementation of Existing DC GANS (http://carpedm20.github.io/faces/) but in Jupyter Notebook version for easy visualization of Errors and Tensor Dimensions.

To Run this File just install Requirements.txt and give the Path of the Training Data correctly in Jupyter Notebook and it will generate images which can be seen in Tensorboard

Step to Run this Code

Step 1 : Git Clone and Move into the Directory

• git clone https://github.com/sauradip/DC-GANS-Tensorflow-Jupyter-Notebook.git
• cd DC-GANS-Tensorflow-Jupyter-Notebook/

Step 2 : Install Dependencies

• To do this simply exeute pip install -r requirements.txt

Step 3 : Download or Create Training Data

• Download Training data in a folder called Data and change path path = 'data/' in 2nd cell of ipython

Step 4 : Run the code

• Run the Code in Cloud or Good GPU with atleast 1 million Training Data for good results and for visualisation run tensorboard --logdir=logs1/

This Code is the joint work of Sauradip Nag and Ayan K Bhunia . Please include proper citations when using any of the results obtained from this repository.