Sort by citations Sort by year Sort by title. Alex Graves graves@cs.toronto.edu Department of Computer Science, University of Toronto, Toronto, ON M5S 3G4 Abstract Many machine learning tasks can be ex-pressed as the transformation|or transduc-tion|of input sequences into output se-quences: speech recognition, machine trans-lation, protein secondary structure prediction and text-to-speech to name but a few. This paper introduces an easy-to-implement stochastic variational … Title. Cited by. Verified email at cs.toronto.edu - Homepage. Alex Graves Department of Computer Science University of Toronto, Canada graves@cs.toronto.edu Abstract Variational methods have been previously explored as a tractable approximation to Bayesian inference for neural networks. Alex Graves. Artificial Intelligence Recurrent Neural Networks Handwriting Recognition Speech recognition. Samples Scale Linewidth SPEECH RECOGNITION WITH DEEP RECURRENT NEURAL NETWORKS Alex Graves, Abdel-rahman Mohamed and Geoffrey Hinton Department of Computer Science, University of Toronto ABSTRACT Recurrent neural networks (RNNs) are a powerful model for sequential data. Cited by. random style Bias--- increasing the bias makes the samples more legible but less diverse.Using a high bias and a priming sequence makes the network write in a neater version of the original style. University of Toronto. Alex GRAVES of University of Toronto, Toronto (U of T) | Read 33 publications | Contact Alex GRAVES.
University of Toronto. Articles Cited by. He did a BSc in Theoretical Physics at Edinburgh and obtained a PhD in AI under Jürgen Schmidhuber at IDSIA. Artificial … Text--- up to 100 characters, lower case letters work best Style--- either let the network choose a writing style at random or prime it with a real sequence to make it mimic that writer's style. V Mnih, K Kavukcuoglu, D Silver, AA Rusu, J Veness, MG Bellemare, ... nature … One of the key challenges in … Alex Graves. Year; Human-level control through deep reinforcement learning. However the approaches proposed so far have only been applicable to a few simple network architectures. Sort. He was also a postdoc at TU Munich and under Geoffrey Hinton at the University of Toronto. Verified email at cs.toronto.edu - Homepage. Alex Graves I'm a CIFAR Junior Fellowsupervised by Geoffrey Hintonin the Department of Computer Scienceat the University of Toronto.
Alex Graves is a research scientist at DeepMind.