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

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are ...

A new technical paper titled “Hardware implementation of backpropagation using progressive gradient descent for in situ training of multilayer neural networks” was published by researchers at ...

To improve the network performance of radial basis function (RBF) and back-propagation (BP) networks on complex nonlinear problems, an integrated neural network model with pre-RBF kernels is proposed.

A new technical paper titled “The backpropagation algorithm implemented on spiking neuromorphic hardware” was published by University of Zurich, ETH Zurich, Los Alamos National Laboratory, Royal ...

“Neural networks are currently the most powerful tools in artificial intelligence,” said Sebastian Wetzel, a researcher at the Perimeter Institute for Theoretical Physics. “When we scale them up to ...

Developers can build intelligent robots with Java, as it provides APIs for programming systems that can see, hear, speak, move, and even learn, using neural networks, which are algorithms that mimic ...

Unlike their more modern large language model counterparts, artificial neural networks require human input to learn and function. ANNs have been around since the 1950s. They started taking hold in ...

The computer scientist Geoffrey Hinton spoke with The Times shortly after learning he had won the Nobel Prize for Physics. The computer scientist Geoffrey Hinton at his home in Toronto last ...