Backpropagation — Chain Rule and PyTorch in Action

<p>The modern businesses rely more and more on the advances in the innovative fields like Artificial Intelligence to deliver the best product and services to its customers. Many of production AI systems is based on various Neural Networks trained often using a tremendous amount of data. For development teams one of the biggest challenges is how to train their models in a constrained time frame. There are various techniques and algorithms to do it but the most popular are these using some kind of gradient descent method.</p> <p>The training of Neural Networks (NN) based on gradient-based optimization algorithms is organized in two major steps:</p> <p><a href="https://towardsdatascience.com/backpropagation-chain-rule-and-pytorch-in-action-f3fb9dda3a7d"><strong>Learn More</strong></a></p>
Tags: PyTorch Action