What is backpropagation in machine learning?
Answer / Lalit Prasad Maurya
Backpropagation, or backward propagation of errors, is a method used in artificial neural networks to calculate the gradient of the loss function with respect to the weights, which is essential for training these networks.
| Is This Answer Correct ? | 0 Yes | 0 No |
What do you understand by decision tree in machine learning?
What kind of problems lend themselves to machine learning?
What is the difference between symbolic and non symbolic AI?
What is the difference between heuristic for rule learning and heuristics for decision trees?
Tell me what are the last machine learning papers you've read?
What is Test set in machine learning?
What is Seq2Seq Tensorflow?
Is octave good for machine learning?
What is the difference between Entropy and Information Gain?
What are the important data pre-processing techniques in python machine learning?
Explain the two components of Bayesian logic program?
Is bayesian statistics useful?
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)