This workshop series is to present overviews to the exciting deep learning techniques and to provide a practical guide for general audience to step into the field. It will be primarily appropriate for the beginners who want to learn the techniques and apply to their future research activities. Researchers with deep learning experiences are expected to get benefits from related discussions as well.

In the second session of the series, we will look into the procedures of working on a general deep learning project, especially on how to train a deep neural network. The knowledge of topics covered in the first session is assumed. Basic knowledge of Calculus and Linear Algebra will be helpful to understand the details.

If you have any further questions regarding the workshop, please contact Qiyang Hu.