Alex Rubinsteyn: Python Libraries for Deep Learning with Sequences

PyData NYC 2015 Recurrent Neural Networks extend the applicability of deep learning into many different problems involving sequential data, such as translation, captioning, summarization, and timeseries prediction, classification. This talk will give a brief overview of how Recurrent Neural Networks work before showing you how to create and train them in Python. Recurrent Neural Networks are a powerful class of statistical models which allow neural networks to deal with sequential data. They have recently