Some basic content I encountered while studying machine learning. A very brief explanation of prior probabilities, posterior probabilities, maximum likelihoo...
A model that binarizes both the input and convolution filters, offering the possibility of running SOTA networks on CPUs.
Giving out handwritten notes for Engineering Mathematics 1 and 2
ACM Queue, October 2018. There were, are, and will be no general purpose processors, according to the author.
CACM, July 2018. What is chosen often depends on how the choice is presented. What are the techniques and heuristics we can exploit?