Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, learn how each function works and when to use it. #DeepLearning #Python #Activa ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

In this paper, we propose CodedSketch, as a distributed straggler-resistant scheme to compute an approximation of the multiplication of two massive matrices. The objective is to reduce the recovery ...

We consider the problem of massive matrix multiplication, which underlies many data analytic applications, in a large-scale distributed system comprising a group of worker nodes. We target the ...

How Two Neuroscientists View Optical Illusions The Best Illusion of the Year contest offers researchers, and participants, an opportunity to explore the gaps and limits of human perception.

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.