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DCGAN-Keras

Deep Convolutional Generative Adverasrial Network in Keras (Tensorflow backend)

A DCGAN model to generate images from the MNIST handwritten digit dataset .

1 . Images are normalized to [-1,1]

2 . Activation function for the last layer - tanh

3 . Activation function for other layers - LeakyReLU

4 . No Fully Connected Layers used in the model .

5 . Upsampling followed by Convolution layers are used to increase the resolution of the image .

6 . Optimizer : Adam

Result after 80 epochs :

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