Bag-of-Words Model
Deep Learning
Algorithm for efficiently computing gradients in neural networks by propagating errors backward through the network.
Detailed Explanation
Backpropagation is a method used to train neural networks by efficiently calculating gradients of the loss function with respect to model parameters. It works by propagating the error signal backward from the output layer to earlier layers, enabling the network to adjust weights through gradient descent. This process is fundamental for training deep learning models effectively.
Use Cases
- •Use case: Training deep neural networks to improve image recognition accuracy through efficient gradient calculation and parameter updating.
Related Terms
Other terms in the Deep Learning category