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Built a Deep Convolutional Adversarial Neural Network (DCGAN) to generate realistic Fashion MNIST images

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DCGAN-Fashion-MNIST

Fashion MNIST dataset is directly downloaded from tf.keras.datasets
Composed of 60,000 training images and 10,000 test images
Dimension of each image is 28x28

Random Gaussian noise is added to make sure we get realistic images and not the exact images

To improve DCGAN model performance (use GPU/Colab for these cases)

  1. Increase the number of epochs
  2. Increase the number of layers for Generator and Discriminator

To use custom images of different dimensions

  1. Make changes in input size of Discriminator
  2. Modify layers in both Generator and Discriminator accordingly

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Built a Deep Convolutional Adversarial Neural Network (DCGAN) to generate realistic Fashion MNIST images

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