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.

As summer winds down, many of us in continental Europe are heading back north. The long return journeys from the beaches of ...

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 ...

The secret behind NeuO (neuronal selective fluorescent probe), which accurately identifies and fluorescently stains neurons only, has finally been unveiled. A research team led by Professor Young-Tae ...

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 ...