Neural Networks Across Space and Time

This is an intro-level talk on deep learning. We’ll start with a brief introduction to deep neural networks, why they are important and how they work. The talk will then cover two of the most important deep neural architectures: convolutional networks which excel at handling images and recurrent networks which handle time-series or sequential input (such as text). We'll show examples of both convolutional and recurrent networks using the deeplearning4j framework.