Abstract: Recently there have been attempts at understanding the training procedure of deep networks but most have been focusing on images, especially for convolutional neural networks. In a similar fashion we are interested in using visualization to get a better understanding of the training for time series data, using mostly recurrent neural nets.
Requirements:
-Basic knowledge of Python
-Basic calculus and probability theory background
-Interest in machine learning