In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such ...

One of the first things needed to effectively adopt photonic circuits in NN applications is to develop a photonic implementation for so-called backpropagation, the most widely used NN training method.

Backpropagation has since become one of the most widely used algorithms in the field of artificial intelligence. After the publication of the backpropagation algorithm, it quickly became a popular ...

A technical paper titled “Training neural networks with end-to-end optical backpropagation” was published by researchers at University of Oxford and Lumai Ltd. Abstract “Optics is an exciting route ...

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...

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 ...

Backpropagation in CNN is one of the very difficult concept to understand. And I have seen very few people actually producing content on this topic. So here in this video, we will understand ...

Recent information from the National Intellectual Property Administration indicates that Beijing Humanoid Robot Innovation Center Co., Ltd. (hereinafter referred to as "Innovation Center") applied for ...