How do you use TensorFlow s Keras to create a generative model for image synthesis

Question

Can you explain, with code, how you use TensorFlow’s Keras to create a generative model for image synthesis?

Answer 1

 You can use TensorFlow's Keras to create a generative model for image synthesis, here is the code you can refer to:

In the above code, we are using Model Architecture: The generator upsamples a noise vector to a target image resolution using Conv2DTranspose, Latent Dimension: The latent_dim defines the generator's input noise size, and Activation: tanh is used to scale the output to the range [-1, 1], suitable for normalized image data.

Hence, this serves as the core for generating images in a GAN setup.