Answer Posted / Dinesh Kumar Maurya
Backpropagation is a popular algorithm used for training artificial neural networks (ANNs). It computes the gradient of the loss function with respect to all the weights in the network by propagating the error from the output layer to the input layers. This process is known as backward pass or backpropagation. In each iteration, it adjusts the weights to minimize the error between the predicted and actual outputs.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers
How does AI intersect with human bias and societal inequities?
What are some techniques for developing low-power AI models?
What methods are used to make AI decisions more transparent?
What are some open problems you find interesting?
How do you ensure that your models are fair and unbiased?
What techniques can be used to make AI models more fair?
Explain the difference between supervised, unsupervised, and reinforcement learning.
How does human feedback improve AI models?
How can federated learning be used to train AI models?
How does explainable AI (XAI) improve trust in AI systems?
Can you explain how AI is used in predictive maintenance for industrial equipment?
Explain the concept of adversarial attacks and how to protect AI models from them.
What are the advantages of low-power AI models?
What is your understanding of the different types of cloud-based machine learning services?
What is model interpretability, and why is it important?
