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?
- QuentinLv 76 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.