The process of adjusting the weights in a neural network based on the error rate is known as _______.
- Backpropagation
- Data Preprocessing
- Hyperparameter Tuning
- Reinforcement Learning
Backpropagation is the process of adjusting the weights of a neural network to minimize the error between predicted and actual values. It is a fundamental training algorithm for neural networks, and it involves calculating gradients and updating weights to optimize the network's performance.
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