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What is BackPropagation Notes about?

Back Propagation is a widely used algorithm for training artificial neural networks by iteratively adjusting connection weights to minimize the difference between actual and desired outputs. The process involves a forward pass to compute outputs and a backward pass to update weights based on the calculated errors using gradient descent. Key advantages include speed, flexibility, and utility in deep neural networks for tasks like image and speech recognition.

Author

hashithgowda357

Language

EN