Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back ...

This video is an overall package to understand Dropout in Neural Network and then implement it in Python from scratch.

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

Getting to six figures used to feel like climbing a corporate mountain. But these days, the ladder looks different, and often ...

Fig. 1: Modeling qubits in a realistic way involves large-scale atomistic models with possibly amorphous materials, disorder, ...

This study presents valuable computational findings on the neural basis of learning new motor memories without interfering with previously learned behaviours using recurrent neural networks. The ...

They look, move and even smell like the kind of furry Everglades marsh rabbit a Burmese python would love to eat ...

They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a remarkable window in the hidden engines powering social media.

In order to implement neural networks, you focused on analogue computing in your work: you used light signals instead of electrical signals as in conventional digital computers. What are the ...