Generative adverserial neural network?

How to apply Generative adversarial neural networks model on a data set having only numeric values(for eg :concentration of various types of gases in air pollutants) .

(Most of the sources available on internet are showing implementation of gans for image data set).

To be more specific those that use LSTM Model for Generator and CNN models for Discriminator -how do i combine both models so that i get the output for numeric data set.

Are there any sources available for such kind of implementation of gans?

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  • 6 days ago

    The image data seta are numeric values, it would be too difficult to make a GAN for analog photo not split up into pixels and each pixel made into numbers.

    So what you want is 1D data instead of 2D data.

    https://machinelearningmastery.com/how-to-develop-...

    • Suteja5 days agoReport

      can I train gans for such kind of numeric dataset
      Year Month Day Hour AP C62016 1 1 0 953.25 0.462016 1 1 1 952.98 0.272016 1 1 2 952.69 0.142016 1 1 3 952.45 0.172016 1 1 4 952.43 0.122016 1 1 5 952.97 0.132016 1 1 6 953.74 0.132016 1 1 7 954.74 0.292016 1 1 8 955.61 0.62

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