# dcgan

**Repository Path**: mirrors_tensorlayer/dcgan

## Basic Information

- **Project Name**: dcgan
- **Description**: The Simplest DCGAN Implementation
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-18
- **Last Updated**: 2025-10-11

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DCGAN in TensorLayerX

- This is an implementation of [Deep Convolutional Generative Adversarial Networks](http://arxiv.org/abs/1511.06434).
Looking for Text to Image Synthesis? [click here](https://github.com/zsdonghao/text-to-image)

- For earlier version, please check dcgan [release](https://github.com/tensorlayer/dcgan/releases) and [tensorlayer](https://github.com/tensorlayer/TensorLayer)

- For more computer vision applications, check [TLXCV](https://github.com/tensorlayer/TLXCV)

![alt tag](img/DCGAN.png)


## Prerequisites

🔥🔥🔥🔥🔥🔥 You need install TensorLayerX at first!

🔥🔥🔥🔥🔥🔥 Please install TensorLayerX via source

```
pip install tensorlayerx
```

or 

```
pip install git+https://github.com/tensorlayer/tensorlayerx.git 
```

## Usage

First, download the aligned face images from [google](https://drive.google.com/open?id=0B7EVK8r0v71pWEZsZE9oNnFzTm8) or [baidu](https://pan.baidu.com/s/1eSNpdRG#list/path=%2F) to a `data` folder.

Please place dataset 'img_align_celeba.zip' under 'data/celebA/' by default.

Your directory structure should look like this:

```
dcgan/
    └── data.py
    └── model.py
    └── train.py
    └── README.md
    └── data
          └── celebA
            └── img_align_celeba.zip

```

Second, train the GAN:

    $ python train.py
    
## Result on celebA


<a href="http://tensorlayer.readthedocs.io">
<div align="center">
	<img src="img/result.png" width="90%" height="90%"/>
</div>
</a>