The backpropagation network described in this article was implemented as a Java class to build an intelligent Lego robot that can learn a basic behavior. With some more work, you can program more ...

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 ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write the code, but it's entirely from scratch in python. We will code Deep Neural ...

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 ...

The principle allows the system to simulate backpropagation by using this inherent symmetry, and enables the optical neural network to be trained entirely through forward propagation (Fig. 1b).