Deep Learning at Scale and at Ease
Deep learning is effective for a wide range of applications, including computer vision, speech and NLP. However, deep learning is complex and requires big training datasets and huge amount of computing resources, which makes it difficult to tune and optimize. In this talk, I am going to introduce the Apache SINGA project, including its programming model, example applications and optimization techniques, particularly about speed and memory.
Mr Wei Wang is a PhD student in National University of Singapore. His research interest includes distributed deep learning optimization and feature learning for multi-modal data. He is a major committer of the Apache SINGA (incubating) project for developing a general distributed deep learning library.