Interested to Buy Any Domain ? << Click Here >> for more details...
Explain the concept of backpropagation.
- 1 Answers
- 97 Views
- I also Faced
- E-Mail Answers
Answer / 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 |
What is Edge AI?
How can AI improve hospital resource management?
How do you stay updated with the latest advancements in AI?
How do SNNs differ from traditional Artificial Neural Networks (ANNs)?
What are some emerging trends in multimodal AI?
Explain the challenges associated with developing human-level AI.
How is AI applied in portfolio management?
How do you see the future of AI in the next 5-10 years?
How does AI improve weather prediction models?
What are some applications of AI in smart agriculture?
A client asks for an AI that can predict stock prices with 100% accuracy. How would you manage their expectations?
How would you evaluate the performance of an NLP model?
-
AI Algorithms (74) - AI Natural Language Processing (96)
- AI Knowledge Representation Reasoning (12)
- AI Robotics (183)
- AI Computer Vision (13)
- AI Neural Networks (66)
- AI Fuzzy Logic (31)
- AI Games (8)
- AI Languages (141)
- AI Tools (11)
- AI Machine Learning (659)
- Data Science (671)
- Data Mining (120)
- AI Deep Learning (111)
- Generative AI (153)
- AI Frameworks Libraries (197)
- AI Ethics Safety (100)
- AI Applications (427)
- AI General (197)
- AI AllOther (6)
