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### [8. Generating Images using GANs](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/tree/master/08.%20Generating%20Images%20using%20GANs)
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*[8.1. Distinguishing generative and discriminative models](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/08.%20Generating%20Images%20using%20GANs/8.04%20Demystifying%20GAN%20Loss%20Function.ipynb)
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* 8.1. Distinguishing generative and discriminative models
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* 8.2. Say hello to GANs
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* 8.3. Architecture of GANs
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* 8.4. Demystifying GAN loss function
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*[8.4. Demystifying GAN loss function](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/08.%20Generating%20Images%20using%20GANs/8.04%20Demystifying%20GAN%20Loss%20Function.ipynb)
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*[8.5. Generating images using GAN in TensorFlow](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/08.%20Generating%20Images%20using%20GANs/8.05%20Generating%20images%20using%20GAN%20in%20TensorFlow.ipynb)
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* 8.6. DCGAN - Adding convolution to the GAN
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*[8.7. Implementing DCGAN to generate CIFAR images](https://github.com/sudharsan13296/Hands-On-Deep-Learning-Algorithms-with-Python/blob/master/08.%20Generating%20Images%20using%20GANs/8.07%20Implementing%20DCGAN%20to%20Generate%20CIFAR%20Images.ipynb)
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