Tag: generative adversarial networks
Generative Adversarial Networks: The Future of Deep Learning?
by Teun de Planque on August 4, 2017 9:55 am
While deep learning models have been able to achieve state-of-the-art results in image recognition and natural language processing tasks, their capabilities are still limited (https://www.cs.toronto.edu/~vmnih/docs/dqn.pdf, https://www.nature.com/nature/journal/v518/n7540/pdf/nature14236.pdf). Humans can learn patterns from only little data, but current deep learning models require thousands of samples (http://www.cell.com/neuron/pdf/S0896-6273(17)30509-3.pdf). Similarly, humans can succeed at a wide variety of tasks, but… Read more Generative Adversarial Networks: The Future of Deep Learning?
