Understanding how back-propagation works will enable you to use neural network tools more effectively.

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.

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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 ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

The fortunes of neural networks were revived by a famous 1986 paper that introduced the concept of backpropagation, a practical method to train deep neural networks.

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks.

Understanding how back-propagation works will enable you to use neural network tools more effectively.