Obtaining the gradient of what's known as the loss function is an essential step to establish the backpropagation algorithm developed by University of Michigan researchers to train a material. The ...

In this video, we will understand Backpropagation in RNN. It is also called Backpropagation through time, as here we are backpropagating through time. Understanding Backpropagation in RNN helps us to ...

The method used to train a large language model (LLM). An AI model's neural network learns by recognizing patterns in the data and constantly predicting what comes next. With regard to text models, ...

Understand the Maths behind Backpropagation in Neural Networks. In this video, we will derive the equations for the Back Propagation in Neural Networks. In this video, we are using using binary ...