What is Backpropagation?
Backpropagation is a critical algorithm in the field of generative AI that allows artificial neural networks to learn from data and improve their performance over time. It plays a key role in training generative models, such as neural networks used for text generation, image synthesis, and music composition.Backpropagation refers to the process of updating the parameters (weights and biases) of a neural network based on the calculated error between the predicted output and the desired target output. This algorithm enables the network to adjust its parameters in a way that minimizes the difference between its predictions and the desired outcomes.Related terms
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