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--- |
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tags: |
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- dcgan |
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- fastai |
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- generative-adversarial-network |
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- deep-learning |
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license: mit |
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library_name: fastai |
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--- |
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# Model Card: DCGAN with Fastai |
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## Model Description |
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This model is a Deep Convolutional Generative Adversarial Network (DCGAN) implemented using the `fastai` library. DCGANs are a type of GAN (Generative Adversarial Network) where both the generator and discriminator are implemented using convolutional neural networks (CNNs). This model can generate realistic images after being trained on a dataset of real images. |
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## Model Details |
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- **Model Type**: Deep Convolutional Generative Adversarial Network (DCGAN) |
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- **Library Used**: fastai |
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- **License**: MIT |
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## Intended Use |
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The DCGAN model is intended for image generation tasks. It can be used for: |
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- Generating new images from a learned distribution. |
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- Enhancing image datasets for training other models. |
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- Creative applications such as art generation. |
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## How to Use |
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### Installation |
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To use this model, you need to install the `fastai` library: |
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```bash |
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pip install fastai |
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