Deep Learning 101 in Apache MxNet

Give an introduction to Deep Learning in Python using Apache MxNet deep learning framework. Explain how deep learning models are implemented in Apache MxNet, work through hands-on activities to train and evaluate a model including advanced topics such as training on multiple GPU

Sergey is a Software Engineer at Amazon Web Services. His work is related to optimizing performance and accuracy of deep-learning systems using Apache MXNet framework. He received a PhD from National Research University of Electronic Technology, Moscow. Sergey's interests lie primarily in Natural language processing. He is particularly interested in topics of question answering and question generation.