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GAN Training

  GANs are generative models: they create new data instances that resemble your training data.Generative Adversarial Networks, or GANs for short, 
  are an approach to generative modeling using deep learning methods, such as convolutional neural networks.Generative modeling is an unsupervised 
  learning task in machine learning that involves automatically discovering and learning the regularities or patterns in input data in such a way that 
  the model can be used to generate or output new examples that plausibly could have been drawn from the original dataset.
    

    In order to understand more about the AI and machine learning. I have collected the 500 images of lightbulb and create a model of light bulb GAN
    which can synthesize endless images and videos base on dataset. This is the  link to the model. The outcomes of GAN is recognizable 
    for some images but some are very abstract. I would need to feed more data to the GAN to create a better output.