Machine Learning, Deep Learning, Artificial Intelligence, Nips Challenge 2017.
N(z). The output image is then fed to the encoder net which gives us a point estimate of the latent vector as z’ which we want to be close to the sampled z from N(z). The model was trained using Adam optimiser and batch normalisation with batch size of 1. Leaky ReLU was used for all the networks.