Interested to Buy Any Domain ? << Click Here >> for more details...
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
Can you explain how AI is used in predictive maintenance for industrial equipment?
What techniques can be used to make AI models more fair?
What are the challenges in applying AI to environmental issues?
Why is it important to address bias in AI models?
What are the advantages of low-power AI models?
What is model interpretability, and why is it important?
What are the limitations of AI in cybersecurity?
Discuss how AI is used to identify vulnerabilities.
What frameworks can you use for ethical AI development?
How does XAI address regulatory compliance issues?
What is the biggest misconception people have about AI?
Explain the concept of adversarial attacks and how to protect AI models from them.
What are the advantages of running AI models on IoT devices?
What are the benefits and risks of using AI in financial risk analysis?
What are the limitations when applying AI in climate modeling?
