VAEs-GANs: What happens when we combine them?The term VAE-GAN was introduced by A. Larsen et. al (2016) in their paper “Autoencoding beyond pixels using a learned similarity metric”…Oct 27, 2021Oct 27, 2021
MixUp Regularization: Synthetic Data Generation and Model Generalization Improvement TechniqueMixup is a data augmentation technique introduced by Zhang et al. (2018) to train neural networks by constructing virtual training examples…Jul 20, 2021Jul 20, 2021
Understanding Transfer Learning in Neural NetworksDue to the large amount of time and resources required to train models on the neural network on computer vision and natural language…Jul 12, 2021Jul 12, 2021
Evolution of ResNets: Identity Residual Units and other architectural experimentsDeep Residual networks (ResNets) put forth by He et al. (2015) commonly used for computer vision thesedays, were formed using residual…Jul 7, 2021Jul 7, 2021
