Neural networks made from photonic chips can be trained using on-chip backpropagation – the most widely used approach to training neural networks, according to a new study. The findings pave the ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code.

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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 ...

And the ability to implement a neural network from scratch gives you the ability to experiment with custom algorithms. The version of back-propagation presented in this article is basic. In future ...

A new model of learning centers on blasts of neural activity that act as teaching signals—approximating an algorithm called backpropagation.