Misconceptions about the Limitations of Gradient Descent in Deep Learning

We have great pleasure of hosting Mert Pilanci, Professor at Stanford University. Mert Pilanci shares with us his recent research breakthroughs in machine learning. Mert and his group discovered that the training of shallow neural networks can be transformed into super-efficient algorithms that always achieve the best accuracy possible on the first shot. Read more: https://ai-podden.se/