no code implementations • 30 Nov 2020 • Abhijeet Patil, Mohd. Talha, Aniket Bhatia, Nikhil Cherian Kurian, Sammed Mangale, Sunil Patel, Amit Sethi
Performance of deep learning algorithms decreases drastically if the data distributions of the training and testing sets are different.
no code implementations • 27 Nov 2020 • Niladri Shekhar Dutt, Sunil Patel
Generative Adversarial Networks GANs are algorithmic architectures that use two neural networks, pitting one against the opposite so as to come up with new, synthetic instances of data that can pass for real data.
